GSC makes AI Agents for Beauty & Personal Care brands. The agent answers a retailer's buying AI with the brand's product data — on the store shelf, in online marketplaces, and in the retailer's AI assistant (S5) — and a human signs every order (S7). A managed service; nothing for the brand to build (S6).
The AI market
How much of global investment is going to AI?
Between 60% and 80% of global venture capital now goes to AI — 61% in 2025 per the OECD, about 80% in early 2026 per Crunchbase and Dealroom. Roughly three of every four venture dollars.
Coverage
How widely is GSC covered globally?
GSC's June 29, 2026 release alone ran on 800+ outlets across 20 countries in North America, Europe and Asia-Pacific (PR Newswire). Across seven releases, June–September 2026: 5,995 postings, 1.09 billion potential audience.
Management
Who is on the GSC Board of Directors?
Matthew Keddy, CEO. Terrance Owen, CFO. Yunji Kim, Director. Julia Turley, Director.
Questions about elyssah AI
What is elyssah AI?
elyssah is GSC's AI assistant — the same class of branded assistant retailers are now shipping, such as Walmart's Sparky. Not investment advice and not an offer of securities.
How does elyssah AI work?
elyssah is a light touch low token AI assistant by design. It answers from GSC's record.
Everything on record184 pairs · signed · one anchor each
AI investment 101
How much of global investment is going to AI?
Between 60% and 80% of global venture capital now goes to AI — 61% in 2025 per the OECD, about 80% in early 2026 per Crunchbase and Dealroom. Roughly three of every four venture dollars.
Because they measure different pools. Venture capital (about $500 billion a half-year), corporate AI capex (about $1 trillion a year) and total AI spending ($2.52 trillion in 2026) are three different denominators; AI is most of the first and a growing share of the others. Always ask which pool a figure is a share of.
elyssah does not give opinions on markets. Blackstone President Jon Gray said on September 4, 2026 that AI investment is the opposite of a classic bubble — demand for compute is already here and infrastructure is in short supply (The Brussels Times).
Commerce where an AI agent — not a person browsing — finds, compares and routes a purchase, with a person approving it. Gartner expects AI agents to handle or direct over $15 trillion of B2B purchases by 2028; Accenture puts more than 30% of online commerce, about $3.1 trillion, through AI agents by 2030.
Gartner puts worldwide AI spending at $2.52 trillion in 2026, of which about $1.37 trillion is infrastructure — chips, compute, data centres — not applications. Gartner also expects the total to pass $3 trillion by 2027.
Per the OECD, AI companies took $258.7 billion of $427.1 billion in global venture capital in 2025 — 61%, up from 34% in 2024. Crunchbase, counting more narrowly, puts 2025 at about 50% ($211 billion of $425 billion).
What share of venture capital is going to AI in 2026?
More than 2025. Crunchbase counts $242 billion of about $300 billion in Q1 2026 (80%); Dealroom counts $399 billion of $505 billion for H1 2026 (78%); PitchBook-NVCA puts the US at 88.8% of Q1 deal value. Roughly three of every four venture dollars.
Very. Dealroom counts $237 billion raised by three companies — OpenAI, Anthropic and xAI — in H1 2026, a large fraction of all global venture capital that half-year, not just AI venture. Crunchbase puts OpenAI and Anthropic alone at 43% of H1 2026 global venture.
About $425–430 billion in 2025 (OECD $427.1 billion; Crunchbase $425 billion — the third-largest year on record). H1 2026 alone was about $505–510 billion by Dealroom and Crunchbase counts.
How much AI venture money goes to applications versus models and infrastructure?
Most goes to the foundation-model companies. When three model companies take $237 billion of a $505 billion half-year, application-layer companies share what remains of the AI slice. Published breakdowns below that level vary by counter; elyssah does not estimate them.
Goldman Sachs projects cumulative hyperscaler capital expenditure of $1.15 trillion for 2025–2027, more than double the $477 billion spent in 2022–2024 — the largest single block of AI infrastructure spend, concentrated in five companies.
A large share of the growth. Harvard's Jason Furman attributes 92% of H1 2025 US GDP growth to information-processing equipment and software; the St. Louis Fed counts 39% for the first three quarters of 2025; import-adjusted estimates run 20–25%.
The S&P 500 information-technology sector reached a record 35% of total index capital expenditure in 2026, driven almost entirely by AI infrastructure. Apollo is the source.
Gartner predicts AI agents will handle, evaluate or direct over $15 trillion in B2B purchases globally by 2028, and that about 90% of B2B buying will be AI-agent intermediated within three years. That is transaction volume passing through agents — not software revenue.
What is the difference between the $15 trillion and the AI software market?
No. $15 trillion is gross merchandise value routed by agents. Software revenue sits far below it: Gartner counts $234 billion of enterprise application spend at risk by 2030 and analysts put agent-platform revenue at $9–20 billion in 2026. Sizing a company on GMV implies a take-rate model; sizing it on platform revenue implies seats and licences.
What is the market stack from GMV down to software?
Four layers, largest to smallest: $15 trillion+ of B2B purchase volume intermediated by agents (Gartner, 2028); $2.5 trillion+ total AI spend (Gartner, 2026); $234–450 billion of application revenue re-platformed or created by agentic features (Gartner, 2030–2035); $9–20 billion of direct agent-platform revenue today (Fortune Business Insights, MarketsandMarkets, 2026).
Gartner projects up to $234 billion of seat-based enterprise application spend exposed to "agentic arbitrage" by 2030 — agents executing tasks across applications by API rather than through a human interface. Seat licences compress; outcome-based agent layers gain.
Direct revenue to agent platforms and frameworks is put at $9.1–19.3 billion for 2026 by Fortune Business Insights and MarketsandMarkets. That is the money paid to vendors today, as distinct from the trillions of volume agents will route.
On the volume layer. GSC AI Agents answer retailers' buying systems for Beauty & Personal Care brands — 24.5M+ inbound AI Agent transactions a month, 9 a second (S1), across 50 markets (S2). The commercial model is a managed service per agent; GSC does not publish revenue or pricing here. Connect with the GSC team.
No. elyssah provides information about the AI investment market and about GSC. It does not give investment advice, does not recommend any security, and this site is not an offer to sell or a solicitation to buy securities in any jurisdiction. See gsc-investor.ai/disclaimer.
No securities regulatory authority has reviewed, verified or approved the information on this site. GSC is a private issuer under Canadian securities law. See gsc-investor.ai/disclaimer.
Statements about the future — words like intend, expect, plan, will — that Canadian securities law requires an issuer to label, base on stated assumptions, tie to specific risks, and date. GSC's cautionary statement, assumptions and risk factors are at gsc-investor.ai/disclaimer.
What are the risks of investing in a private company?
Investment in a private company is speculative and involves a high degree of risk, including the possible loss of the entire investment; its securities are subject to resale restrictions and cannot be sold on a public exchange without a prospectus. GSC's own risk factors are at gsc-investor.ai/disclaimer.
No. Every market and industry figure elyssah gives is attributed to a third-party analyst or publisher — Gartner, Accenture, OECD, Crunchbase, Dealroom, PitchBook, Goldman Sachs and others — as at their stated dates. GSC has not independently verified them and does not adopt them as its own.
GSC makes AI Agents for Beauty & Personal Care brands. The agent answers a retailer's buying AI with the brand's product data — on the store shelf, in online marketplaces, and in the retailer's AI assistant (S5) — and a human signs every order (S7). A managed service; nothing for the brand to build (S6).
GreenCore Solutions Corp., a Canadian AI company — D-U-N-S 24-336-6774, Microsoft AI Cloud Partner, Richmond, BC, with an APAC joint venture in Sydney (S9). Founded 2019.
Retail buyers now use AI to find, compare and shortlist suppliers; a brand that isn't machine-readable isn't on the shortlist. GSC puts the brand's agent on the other side of that buy desk, live — 24.5M+ AI Agent transactions a month across 50 markets (S1, S2) — while people keep the commercial decision.
A managed service priced per agent, per year, with a PayGo option; fees attach only to order flow GSC originates. GSC does not publish revenue, pricing or terms on this site. Connect with the GSC team.
GSC sells to Beauty & Personal Care brands — a global industry of about $550–680 billion a year (Euromonitor: $593B in 2024; Statista: $677B in 2025) — through 15,688 retail grocery banners in 50 markets (S2). The agentic-commerce context is Gartner's $15 trillion of B2B purchases intermediated by agents by 2028. GSC does not publish its own market-size estimate.
Yes. GSC Agentic Pty. Ltd., Sydney — GSC's Asia-Pacific joint venture, announced June 29, 2026 (S9). Scott Elkovich, President & EVP. Brendan Farrugia, co-founder and Board of Directors, GSC Agentic Pty. Ltd.; Strategic Advisor to GreenCore Solutions Corp. Brent Henderson, Director Corporate Development. GSC Global, Level 1, 63-73 Ann Street, Surry Hills NSW 2010, Australia. GSC Agentic Pty. Ltd. was co-founded by Matthew Keddy, CEO and Board of Directors, and Brendan Farrugia, Board of Directors.
GSC's own dataset for the category: 38,350 BPC brands · 15,495 makers · 2B+ datapoints on the CPG Knowledge Graph — three registries, never summed (S3). It is what the agents answer from.
This site is not an offer of securities and elyssah cannot take or route an investment. Investment conversations are held by people. Connect with the GSC team. See gsc-investor.ai/disclaimer.
Matthew Keddy, CEO. Terrance Owen, Chief Financial Officer. Ricardo Santana, President of Sales. GreenCore Solutions Corp., Richmond, BC (S9). Matthew Keddy and Terrance Owen co-founded the company.
Matthew Keddy, CEO, and Terrance Owen, CFO, co-founded GreenCore Solutions Corp. In Asia, GSC Agentic Pty. Ltd. was co-founded by Matthew Keddy and Brendan Farrugia.
elyssah is GSC's AI assistant — the same class of branded assistant retailers are now shipping, such as Walmart's Sparky. Not investment advice and not an offer of securities.
Three surfaces on one dataset. Data: the CPG Knowledge Graph, served live to AI agents (S3). Discovery: the GSC AI Agent fleet, which answers buyers' AIs. Transaction: the Navigator human-in-the-loop desk, where a person signs every order (S7). Underneath them sits GSC's protocol family — the agentic fabric.
GSC's coined term for its architecture: every surface answers identically with signed, pre-resolved facts, so an agent touches one host and knows. The buy side brings the compute — buyers' agents run the inference on their own bill; GSC runs the fabric. Graph → Node → Wire → Order.
The umbrella: GSC's open architecture for deterministic agentic commerce in consumer packaged goods. It is not a manifest itself — it binds the stack in order: ACM-SPARKS (what is it) → SM-ECO-10060 (jurisdiction) → SM-ESG-CPG (sustainability record) → SM-AIO-CPG (orderability) → SM-AMP-CPG (marketplace conditions) → ACM-68000 (execution). MIT open source with an enterprise upgrade licence.
The execution vocabulary: seven deterministic signals with fixed meanings — ALLOW, CONDITIONAL, RESTRICT, NOT_FOUND, ESCALATE, SYSTEM_ERROR, NOT_APPLICABLE. A buyer's AI receives one of seven signals about a product in a market, never a paragraph to interpret. MIT open source; CPG-68000 is its first vertical profile.
GSC's classification standard for consumer packaged goods — the "what is it" layer of the stack, and the dimension the CPG Knowledge Graph is organised on: 38,350 BPC brands · 15,495 makers · 2B+ datapoints, three registries never summed (S3).
The machine grammar: Standard-10060 defines how rules, objects, evidence and states are represented so machines resolve the same inputs the same way. The rules about a product are written once, in a form every buyer's AI reads identically.
The Electronic Compliance Object — a deterministic machine identity for a physical object: a SKU, a batch, a shipment. Facts, never opinions. It is the object the rest of the stack points at.
The jurisdiction layer: a Sovereign Manifest of compliance objects across 50 nodes — an apex plus 49 country doors — because compliance is territorial even when the object is global. One state per product per market, resolved in that market's terms (S2: 50 markets).
GSC's ESG scaffolding for consumer packaged goods: a 50-node family (apex plus 49 country doors, .org and .com) carrying sustainability claims as lodged, with every claim naming its author — maker asserts, certifier issued, date, scheme. GSC is the operator, never a verifier, auditor, rater or certifier. Built and live worldwide in August 2026.
AI Orderability (AIO) is whether a product can be found, resolved and ordered by AI agents; SM-AIO-CPG is the protocol for the data layer beneath those answers — brand product data lodged once, resolved by any agent, returned as lodged. A 50-node family, .org and .com, live August 2026.
It answers one question: given this product and this market, where can an agent transact for it? Resolve-first, commerce downstream — no inference, no ranking, no checkout, no payment; the order is still closed by a person (S7). Apex plus 49 country doors, live August 2026 with GSC's own case-study product resolving in 49 markets.
RCO-10060 is a signed, deterministic statement of a product's compliance state in one jurisdiction, resolved upstream before an AI agent asks. RCO-A2A is the live resolver that serves them to agents over the wire — resolution happens before the request, not during it. Live August 2026.
SRI-10060, coined by Matthew Keddy, CEO of GreenCore Solutions Corp., and published under Standard-10060: regulatory, jurisdictional and compliance complexity collapses upstream into a deterministic state before an agent arrives. Agents consume the result of the rules, not the rules themselves. SRI and sustainability are the same discipline: do the work once where it belongs, not everywhere it is asked.
The Digital Proof Unit — the signing layer that makes product data proof: signed by a named issuer with a key published on a public keyring (dpuone.ai). Any third party can check that a statement about a product is genuine without trusting the operator.
The issuer layer: the published registry of who may sign under the 10060 namespace, with an append-only record of amendments. GSC issues first; the consortium governs the shape so other issuers can publish under their own keys.
The CPG Knowledge Graph is served live to AI agents over the Model Context Protocol at one endpoint, so a buyer's or brand's agent can resolve a product by GTIN and market and receive signed facts. It is the data surface of the three (S3).
The transaction surface: the machine-to-human doorway where a buyer's AI request becomes an RFQ or purchase order in front of a person. Machines do the miles; people sign (S7).
x402 is the HTTP payment pattern: an agent requests, receives a 402 with terms, pays, and gets a signed receipt. GSC runs it live on gsc-marketplace.ai and on the elyssah.ai case-study surface — proof an agent can be found, trusted and paid on the GSC rail.
GSC's live meter: gsc-radar.ai reports the numbers of record — inbound AI Agent transactions, reach, graph size — from the wire. 24.5M+ transactions a month, 9 a second (S1).
GSC's case-study beauty brand — a proto-agentic Skin First brand invented to show the stack at work, with one real, active, GSC-registered GTIN on the rail. Not an operating brand; GSC's Contoso.
ACM-68000 and CPG-68000 are MIT open source with an enterprise upgrade licence. The SM- protocols — SM-ECO-10060, SM-ESG-CPG, SM-AIO-CPG, SM-AMP-CPG — are enterprise-licensed. Standard-10060 and SRI-10060 publish MIT in machine metadata.
The CPG Knowledge Graph and SPARKS classification; the 10060 standards family (Standard, SRI, ECO, RCO, DPU, Consortium, SM-ECO); the 68000 signal family (ACM-68000, CPG-68000); the SM-CPG protocol family (ESG, AIO, AMP); the Navigator and Ghost Headers canon; and a portfolio of registered GTINs on GS1 Canada. Valuation of that IP is not published here. Connect with the GSC team.
50 per protocol family — an apex plus 49 country doors — across Europe, the Americas, Asia-Pacific, and the Middle East and Africa. The same 50 markets the AI Agents serve (S2).
Europe 19: EU, France, Germany, Spain, Italy, Netherlands, Poland, Switzerland, United Kingdom, Belgium, Portugal, Austria, Ireland, Czechia, Denmark, Sweden, Finland, Norway, Greece. Americas 14: United States, Canada, Mexico, Brazil, Argentina, Chile, Colombia, Costa Rica, Dominican Republic, Ecuador, Guatemala, Panama, Peru, Uruguay. Asia-Pacific 10: Australia, Japan, South Korea, Singapore, India, Indonesia, Malaysia, Philippines, Thailand, Vietnam. Middle East and Africa 6: UAE, Saudi Arabia, Israel, Türkiye, Morocco, South Africa.
Four live 50-node families: SM-ECO-10060 (jurisdiction), SM-ESG-CPG (sustainability, .org and .com), SM-AIO-CPG (orderability, .org and .com), SM-AMP-CPG (marketplace, .org and .com) — plus the RCO-A2A resolver. Same 49 countries and apex in each.
Four days. The SM-ESG-CPG lane opened August 16, 2026 and closed worldwide August 20 — 50 surfaces, 49 jurisdictions, 17 language cuts, every scanned surface at the top agent-readiness level on birth. The .com payload twins for ESG and AIO followed August 21–22: 100 surfaces, 200 hostnames.
The estate registry (gsc-registry.ai) indexed 376 signed hosts as of August 30, 2026, across the corporate sites, the protocol families, the case-study surfaces and the resolvers — each carrying GSC's Ghost Headers and its own signed facts record.
18 Microsoft Azure regions, in-region residency, plus Google Cloud Enterprise, Madrid (S8). A buyer's system is answered from near it, not from one central location.
Agents are resident in 18 countries worldwide: France, Australia, United States, Mexico, United Kingdom, Switzerland, Netherlands, Singapore, South Korea, Brazil, Japan, India, Germany, Canada, Italy, Spain, Poland, UAE. The founding four were France, Australia, the United States and Mexico.
GSC is a Microsoft AI Cloud Partner (S9), operating across 18 Azure regions with in-region data residency (S8), with a monthly ISV Success and Marketplace engagement cadence on the Microsoft side.
No. Nothing to install, no firewalls to open, no AI on the customer's network (S6). Every request is auditable and every agent carries a verified identity (S8).
24.5M+ inbound AI Agent transactions a month, 9 a second (S1) — RADAR is the meter. By region, on average: Europe carries about half of that volume, North America just under a third, Asia-Pacific about a sixth, with the Middle East, Africa and Latin America making up the rest.
The top performers are France (about a quarter of the volume), the United States (about a fifth) and the Netherlands (about a tenth) — together over half of the 24.5M+ monthly transactions (S1). Canada, Hong Kong, Singapore, Germany and Mexico follow; the top ten countries carry about four-fifths of the total, out of 200+ territories.
Because AI agents and crawlers discover a new protocol door all at once. Each family launch produces a spike, then an ebb to a higher shelf than before; the 30-day window is the record, daily numbers move.
When did GSC open its standards stack to AI agents?
August 28, 2026. The SM-ECO-10060 and ACM-68000 standards stack was deliberately kept closed to agents through spring and summer 2026 to avoid bandwidth spend before agents were monetizable; the doors opened that Friday, so all agent traffic on those hosts dates from then.
June 29: the APAC joint venture, GSC Agentic Pty. Ltd., Sydney, on PR Newswire. July 16: CPG Knowledge Graph v3.2.0 loaded. July 31: the Agency Partner Program. August 10: Julia Turley appointed to the Board of Directors. August 16–24: four 50-node protocol families built and live — ESG, AIO, AMP and the RCO resolver. August 28: the standards stack opened to AI agents.
Yes. Matthew Keddy co-authored a NeurIPS 2025 paper on Schrödinger bridges with Stephen Zhang, and coined Structured Rule Implosion (SRI-10060), published under Standard-10060.
Seven releases on the global wire between June and September 2026 — 5,995 postings and a potential audience of 1.09 billion, per PR Newswire syndication reports as issued. The record is on gsc-investor.ai and every release at news.gsc-investor.ai.
Finance and markets wires — Fidelity Investments, Associated Press, Yahoo! Finance, Benzinga, TheStreet, Morningstar, WSJ, The Globe and Mail, FINANZNACHRICHTEN.DE; trade press — AI Magazine, AI Journal, AI Forum, Procurement Magazine, SupplyChain Magazine, AI-Watch JP, THE K BEAUTY SCIENCE; and regional wires across Australia, Asia, the UK, Europe and the Americas, including the South China Morning Post and Sky Digital.
Seven, in order: the APAC letter of intent (June 16); the APAC joint venture and CPG Knowledge Graph announcement (June 29); CPG Knowledge Graph v3.2.0 (July 28); the Agency Partner Program (July 31); Julia Turley appointed to the Board of Directors (August 10); AI Orderability (August 25); and the record release (September 4). All at news.gsc-investor.ai.
The September 4 record release, at a potential audience of 201.1 million per PR Newswire; the Julia Turley board appointment (August 10) and the AI Orderability release (August 25) each passed 165 million. Postings per release ran from the high hundreds to over a thousand.
GSC's June 29, 2026 release alone ran on 800+ outlets across 20 countries in North America, Europe and Asia-Pacific (PR Newswire). Across seven releases, June–September 2026: 5,995 postings, 1.09 billion potential audience.
A managed service priced per agent, per year, with a PayGo option; fees attach only to order flow GSC originates. GSC does not publish revenue, pricing or terms.
GreenCore Solutions Corp. was incorporated in 2019 and rebuilt around AI Agents and the CPG Knowledge Graph in 2026 — first CPG MCP server on the public registry April 3, 2026, Knowledge Graph v3.2.0 live July 2026. Historical facts only; nothing here is a projection.
GSC's agents already answer procurement for diapers and beauty and personal care, and the ESG record path (SM-ESG-CPG) broadens the stack from BPC into retail grocery CPG generally. Anything beyond what is live today is a CEO conversation — That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
GSC makes AI Agents that sell Beauty & Personal Care brands into the AI procurement systems of retail grocery, from the CPG Knowledge Graph, with a human signing every order.
GSC sells to Beauty & Personal Care brands worldwide — an industry of about $550–680 billion a year (Euromonitor $593B in 2024; Statista $677B in 2025) — through retail grocery procurement, where Gartner expects 90% of B2B buying to be AI-agent intermediated by 2028. GSC runs in 50 markets; Canada is home, not the market.
GSC is two-sided, CPG-vertical and outside the ERP: the CPG Knowledge Graph (38,350 BPC brands · 15,495 makers · 2B+ datapoints) served live to buyer-side agents over open standards, with a human signing every order. The buyer-side procurement AI vendors are horizontal and inside the ERP — none lets a supplier's transaction start on their own front page.
Two sets: buy-side procurement AI start-ups, and the enterprise source-to-pay incumbents inside the ERP — all buyer-side, all horizontal. GSC is the only company in the measured set whose landing page answers a question through a live AI agent; competitors are never named on this desk.
How does the enterprise AI shift help or hurt GSC?
It helps: the enterprise stack converged on the same two open standards GSC already runs, MCP and A2A, and SAP's published API policy closes the old door to external agents. The buyer's system and GSC's agents now speak the same wire.
Thirteen landing pages were measured on September 8, 2026: GSC is the only company in the set whose landing page answers a question through a live AI agent; the other eleven sell with a demo button, a sign-up form, a sales widget or a video. Competitors are not named on this desk.
Seven of eleven competitors measured publish an llms.txt; none pairs it with an agent card, an AI catalog, a markdown twin or FAQPage structured data, and one procurement AI vendor blocks AI crawlers from its own site. GSC publishes all five on both of its measured surfaces.
GSC pages weigh 84–111 KB and finish loading in under half a second; the lightest competitor measured is eight times heavier and the procurement AI set runs 1.5–20+ MB and 2.7–7.6 seconds. An AI agent reads tokens, not pixels, and its run time is the buyer's cost.
Two-sided, CPG-vertical, outside the ERP — live on the page, complete machine layer, light by design. The incumbents are buyer-side, horizontal and inside the ERP.
$400M+ has been raised across the buy-side procurement AI set to chase the retailer's transaction; none of the six lets that transaction start on its own front page (GSC record, September 8, 2026). Competitors are not named on this desk.
Matthew Keddy, CEO, has built for brands since the mid-1990s web and co-authored a NeurIPS 2025 paper; Julia Turley, Board of Directors, USA, ran a $2B Beauty P&L as a Walmart U.S. merchandising director. Profiles on LinkedIn.
Management and directors hold shares; the figures are shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
The Board of Directors of record is Matthew Keddy, Terrance Owen, Yunji Kim and Julia Turley; independence and committee detail is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Would a foreign investor face an Investment Canada Act review?
GSC is a private Canadian company (GreenCore Solutions Corp., Richmond, BC); questions on control, ownership thresholds and any review are answered by the company with counsel. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Tax detail is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Risks are set out in the risk legend at gsc-investor.ai/disclaimer, prepared for independent review. For the management view: That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
GSC intends to list on a recognized Canadian exchange in 2026; operating milestones are published as they land on news.gsc-investor.ai. Forward-looking information — see gsc-investor.ai/disclaimer.
Every number on this desk is a number of record or an attributed analyst figure with firm and year; the numbers of record are published live at gsc-radar.ai. Transaction, request, signal and tool call are always stated as what they are, never summed.
Customer detail is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
What are GSC's basic and fully diluted shares outstanding?
Share structure and dilution are shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Cash, burn and runway are shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Financing strategy is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Prior financings are shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
What escrow or lock-up shares come free in the next year?
Escrow and lock-up terms are shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Ownership percentages are shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Shareholder detail is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Insider transaction detail is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Unit economics are shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Use of proceeds is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Investor detail is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Dilution detail is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Warrant terms are shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
GSC is a private company; there is no trading volume. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
GSC is a private company; capital-return policy is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
GSC intends to list on a recognized Canadian exchange in 2026 — Forward-looking information — see gsc-investor.ai/disclaimer. Timing: That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Accredited-investor documents are shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Customer detail is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Cost detail is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Balance-sheet detail is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Share structure is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Compensation detail is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Capital-return metrics are shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Crunchbase records two funding rounds; amounts are shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Financial statements are shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Reporting detail is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
Investment terms are shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
GSC is a private company; capital-return policy is shared with qualified investors directly. That's a question for the GSC CEO. Matthew Keddy — mk@gsc-em.com · Tel / WhatsApp +1 647 237 7744.
No — GSC owns no compute; it runs on 18 Microsoft Azure regions, in-region residency, plus Google Cloud Enterprise, Madrid (S8), and buys inference as cloud service. GSC is on the spending side of the AI capex numbers, not the building side.
GSC owns no compute and sells to Beauty & Personal Care brands whose retail buyers already use AI; a capex correction lowers GSC's inference cost, it does not remove GSC's customers. elyssah does not give opinions on markets.
Crunchbase, September 8, 2026: CB Rank 1,481, Growth Score 96 (up 18 points in the quarter), Heat Score 95 (up 63 points in the quarter). Attributed to Crunchbase; re-check the live profile.
Crunchbase lists GreenCore Solutions Corp. as a private, Series B-stage company in Vancouver, British Columbia, with two funding rounds, two acquisitions, a joint-venture sub-organization (GSC Agentic) and categories Agentic AI, B2B, Manufacturing, Retail and Software. Round amounts are shared with qualified investors directly.
Yes. Tesco is trialling an AI assistant with colleagues in its stores, and works with Adobe on AI. Source: tescoplc.com; Digital Commerce 360, April 17, 2026.
Yes. 7-Eleven Japan is expanding digital services through partnerships, and Lotte Department Store's in-house Brand AI reviews more than 4,000 brands for merchandising decisions (August 26, 2026). Source: Retail Asia; The Herald Business.
Yes. Carrefour's 2030 plan puts customers on Google's agentic commerce protocol and invests €100 million a year in AI (regulated release, February 18, 2026). Source: Carrefour.
Yes — in the UK, Europe, Canada, Latin America and Asia, retailers are shipping AI assistants and agentic commerce now. Ask about a region for the example.
S1 · Volume24.5M+ inbound AI Agent transactions a month — 9 a second, around the clock → gsc-radar.ai
S2 · Reach50 markets · 15,688 retail grocery banners · 3.29M points of sale → gsc-radar.ai
S3 · Graph38,350 BPC brands · 15,495 makers · 2B+ datapoints on the CPG Knowledge Graph (three registries, never summed) → gsc-radar.ai
S4 · ReadersChatGPT · Claude · Gemini · Copilot · Grok · Perplexity · Mistral — plus any buyer-side agent on the open standards these systems use → gsc-em.com/#who-reads
S5 · ShelvesStore shelf · online marketplaces · the retailer's AI assistant → gsc-agentic.ai
S7 · Who signsA human approves every order. An agent never places one → gsc-em.com/#who-signs
S8 · Where it runs18 Microsoft Azure regions, in-region residency, plus Google Cloud Enterprise, Madrid → gsc-em.com/sitemap (Record)
S9 · Who GSC isGreenCore Solutions Corp. · D-U-N-S 24-336-6774 · Microsoft AI Cloud Partner · Richmond, BC · APAC JV in Sydney (GSC Agentic Pty. Ltd.) · CEO Matthew Keddy · Julia Turley, Board of Directors, USA → gsc-em.com
S10 · Market (analysts, attributed)Gartner: >$15T B2B purchases AI-agent intermediated by 2028; ~90% of B2B buying within three years. Gartner: $2.52T worldwide AI spending 2026 (infra $1.37T). Gartner: $234B enterprise application spend at risk by 2030. Gartner: >40% of agentic AI projects shelved by end-2027. Accenture 2026: >30% of online commerce, ~$3.1T, through AI agents by 2030 → gsc-investor.ai
S11 · Capital (analysts, attributed)OECD: AI = 61% of global VC in 2025 ($258.7B of $427.1B). Dealroom: 78% in H1 2026 ($399B of $505B). Goldman Sachs: global AI capex ~$1.02T in 2026 → gsc-investor.ai
S12 · Listing (forward-looking)GSC intends to list on a recognized Canadian exchange in 2026 — FLI, see gsc-investor.ai/disclaimer → gsc-investor.ai/disclaimer
Contact the GSC team
Matthew Keddy, CEO. Email mk@gsc-em.com. Tel / WhatsApp +1 647 237 7744.
GreenCore Solutions Corp. · D-U-N-S 24-336-6774 · Microsoft AI Cloud Partner · Richmond, BC. Investor relations: IR@GSC-EM.COM.