We're early. The thesis is clear.
Three paths to compress time-to-launch.
OpsATC.AI is at the build phase. To go from here to a deployed, paying, named-customer product as fast as possible, we're openly recruiting on three fronts: pilot partners, capital partners, and a technical co-founder. If any of those is you, this page is for you.
From here to a Series A on the back of named outcomes — in roughly 180 days.
"Speed to launch" needs a number behind it. Below: the path from pilot LOI to Series A — and the three fronts (pilot customers, capital, technical co-founder) we're working in parallel to compress it.
Day 0 is the LOI with the first pilot partner. Capital and technical-co-founder conversations run in parallel so the +30-day gate can clear cleanly. If any of the three paths slip, the timeline slips with it — which is exactly why all three are public on this page.
Operations is the largest under-served software market in the AI era.
Distributors, contract manufacturers, integrators, and high-mix specialty operations move trillions of dollars of physical goods every year on top of an ERP / S&OP / WMS / CRM / PLM stack that doesn't talk to itself. Foundation models that can reason, Model Context Protocol that lets AI read from systems of record auditably, and the observability tooling around long-running agent analyses all matured at the same time in 2024–2026.
The connective layer above the systems — the layer that's been a human clicking between forty browser tabs for fifteen years — is finally buildable. OpsATC.AI is built to be that layer, with a vertical specialization that horizontal AI players can't credibly deliver and an architectural commitment (read-only by default, cited responses, tenant isolation, no foundation-model training on customer data) that operations buyers actually require.
The founder's full thesis, the multi-industry pattern recognition behind it, and the connective-layer framing live on the About page. The product, the architecture, and the comparison vs. alternatives live on the Platform page.
For pilot partners.
OpsATC.AI is openly searching for a small founding cohort of pilot partners — distributors, contract manufacturers, and integrators who want a hand in shaping the product, an early seat at the table on roadmap, and the price hold and protections that come with being first. The faster we can put the platform inside a real operation, the faster the finished product gets to market. That makes the search public.
Who we're looking for
Distributors, contract manufacturers, integrators, and high-mix specialty operators with $500M to $30B in annual flow. Operating on a recognizable systems-of-record stack — ERP, S&OP / planning suite, WMS, CRM, PLM, EDI. Operations-led, with a leadership team comfortable being early on a category-defining product. Industry-agnostic — distribution, manufacturing, integration, medical devices, industrial automation, specialty.
What pilot partners get
Year-1 implementation & discovery fee, plus a capped Year-2 and Year-3 subscription — cap numbered in the pilot LOI, not a "future price hold against an unknown." On top: documented roadmap influence; direct founder relationship; change-of-control protections, source-code escrow, perpetual license to the version you're running; tenant isolation; no foundation-model training on your data.
What we ask in return
Access to a real operating scenario inside your business. A small, focused stakeholder group across operations, IT, and a sponsoring executive. A 60–90 day commitment to first measurable outcome — cycle time, OTIF, exception MTTR, onboarding velocity, decision compression. Honest feedback during the pilot, in real time, so the platform is shaped by operators who actually run an operation.
Why this compresses time-to-launch
The fastest path from today to a deployed, named-customer product is to put real data, a real operation, and a real worst-week scenario in front of the platform from the first sprint. Pilot partners shorten that path by making the build target concrete — they tell us which connectors, which workflows, and which recommendation surfaces matter first. In exchange, they shape the version 1.0 they end up running.
If your operation is ready to be early, let's talk.
Email [email protected] with the subject line Pilot partner conversation. Include a short description of your operation, your top operational pain right now, and a name we can call you by. You'll hear back within one business day. The full set of inputs that make a tailored demo possible is on the demo prep page — but the first conversation only needs an introduction.
For capital partners.
OpsATC.AI is in pre-seed. We are in conversation with strategic capital partners who back operator-founders early in vertical-AI categories and who understand that the path from conviction to first revenue runs through a small, deeply technical team — not a 30-person headcount expansion.
Why we believe this is fundable now
The technical building blocks (Anthropic Claude foundation models, Model Context Protocol, agent observability tooling) all crossed the credibility threshold for production operations work in 2024–2026. The market (distribution + contract manufacturing + systems integration) is large, profitable, deeply digitized at the system-of-record layer, and dramatically under-served at the orchestration layer. Operator-founders with cross-industry pattern recognition and a working brand are the right people to bridge that gap.
What capital funds
Hiring the technical co-founder. Building the founding engineering team (small, deliberately). Implementing the MCP connector fabric across the priority systems of record. Standing up the SOC 2 Type II audit and the trust posture infrastructure. Two to three design-partner deployments to first measurable outcome. A compressed timeline to first revenue, then a Series A on the back of named, paying customers.
Why we believe the timeline can be short
The product foundation is non-trivially built. Brand identity, design system, marketing site, demo concept, platform architecture, MCP-native connector model, agent persona, trust posture, design-partner engagement playbook, tailored-demo prep methodology — all of it exists in a deployable form today. What stands between here and the first paid pilot is technical implementation depth. Capital compresses that gap.
What we'd want from the right partner
Someone who has backed operator-founders in vertical-AI categories before, ideally in supply chain, logistics, or industrial software. Someone who understands that an early-stage business with one seasoned operator on every customer call is a feature, not a stage to grow out of as fast as possible. Someone who values architectural commitments (HITL, cited responses, tenant isolation) over headcount-reduction ROI claims.
If you back operator-founders early, let's talk.
Email [email protected] with the subject line Capital partner conversation. Include a short description of where you invest, what stage, and what you'd want to see in a first conversation. You'll hear back within one business day.
For technical co-founders & founding engineers.
OpsATC.AI is looking for the technical leader who will build the platform alongside the founder. Co-founder economics for the right person; senior founding-engineer terms for the right person who isn't ready for full co-founder. The technical scope is unusually rich for a pre-seed company because the architecture commitments are already settled.
The technical scope
Anthropic Claude foundation models as the agent reasoning layer. Model Context Protocol (client + server) as the integration fabric across SAP, Oracle, Kinaxis, Manhattan, Salesforce, Windchill, ServiceMax, Snowflake, Databricks, EDI/X12, and custom MCP endpoints. A multi-tenant SaaS architecture with strong per-customer data isolation. An operational knowledge graph kept in sync with systems of record. The Process Intelligence Engine that surfaces bottlenecks and quantifies impact. Five role-aware portals on top.
The kind of person we're looking for
Someone who has shipped a production AI / agent / orchestration system before — ideally one that touched real systems of record under real audit constraints. Someone fluent in Python, TypeScript, modern cloud infrastructure, and at least one ERP or supply-chain platform. Someone who has worked on enterprise multi-tenant SaaS and understands the discipline that takes. Someone who reads MCP, agentic-tool-use, and integration spec docs for fun. Someone who values architectural commitments over feature velocity.
What you'd own
The technical architecture, end-to-end. The MCP connector fabric and the SDK that lets new connectors ship in days, not months. The agent layer (Major Tom) and the safety / HITL machinery underneath it. The audit, observability, and trust posture. The hiring of the next two to four engineers as funding lands. The technical voice in design-partner conversations.
What you'd get
Founder-grade equity (for the co-founder path) or founding-engineer equity plus market salary (for the founding-engineer path). Direct partnership with an operator-founder who has run global supply-chain operations and will be on every customer call with you. A category-defining problem in a market that's actually big. The ability to do your best work without a large company's politics, and the architectural quality bar to make the work worth doing.
If this is the work you've been waiting to do, let's talk.
Email [email protected] with the subject line Technical co-founder conversation. Include a short description of the most relevant thing you've built, your fluency with Anthropic Claude / MCP / agentic systems, and what you'd want to talk about in a first call. You'll hear back within one business day.
What you should know before we talk.
OpsATC.AI is pre-revenue. There is no named paying customer to put on this page. The compliance certifications are on a roadmap, not in a binder. The team is one person. The integration connectors are architected, not all individually shipped to production.
That's the cost of being early. What's unusual here: operator-founder credibility, architectural commitments, brand, engagement methodology, and design-partner pipeline are all in place — which is what compresses the timeline once capital and technical depth land. If you look at the current state and see what's been built, the conversation is worth having.