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.
For pilot prospects reading this page: capital partners and the incoming technical co-founder both commit to the architectural doctrines published on the Trust Center and Approach pages — read-only against systems of record, tenant isolation, no headcount-savings clause — as a precondition of partnership. Capital won't change the doctrine. The next engineer won't change the doctrine. The doctrine is what the platform is.
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.
A note for pilot partners reading this page. Capital partners and the technical co-founder both commit to the architectural doctrines published in the Trust Center and the Approach as a precondition of partnership — including the read-only doctrine, tenant isolation, the workforce-amplification commitment, and the no-headcount-savings clause in the design-partner MSA. The doctrines are settled; the team is being shaped around them, not the other way around.
Operations is the largest under-served software market in the AI era.
Distributors, contract manufacturers, systems integrators, logistics carriers, hub providers, the product companies (OEMs) they supply, 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, systems integrators, logistics carriers, hub providers, and the product companies (OEMs) they supply — 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, systems integrators, logistics carriers, hub providers, product companies (OEMs), 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, TMS, CRM, PLM, EDI. Operations-led, with a leadership team comfortable being early on a category-defining product. Industry-agnostic — distribution, manufacturing, integration, logistics, hub services, medical devices, industrial automation, specialty.
What pilot partners get
A 90-day refundable pilot fee ($15K–$100K, sized to scope, scale, and integration footprint), followed by a 1-year or 2-year commercial contract at a materially-discounted monthly rate locked for the full term. On a 2-year contract, the pilot fee returns as a fixed monthly rebate over the first six months — net pilot cost: zero. On a 1-year contract, the pilot fee is non-refundable but the materially-discounted monthly rate still stays frozen through the year. 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. Full pricing posture and "what design-partner pricing buys you" detail on approach.html#pricing.
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.
Six questions we hear from every pilot conversation — answered straight.
How do you pick which workflow to start with?
We don't. You do. The first sprint is a scoping conversation where we name three candidate workflows in your operation, rate each against architectural fit and impact, and pick one together. The pattern: pick the workflow that hurts most weekly but doesn't yet have a competing in-flight tool — that's where The Captain shows value without political friction.
What if our ERP isn't in the five reference adapters?
839 platform adapters are scaffolded today; 141 are production-built, contract-tested Tier-1 connectors — each verified in CI to perform a real data read (including SAP S/4HANA, SAP ECC, Oracle Fusion ERP, Blue Yonder WMS, and Rockwell FactoryTalk). Plus 8 generic adapters (JDBC, OData, OpenAPI, GraphQL, SFTP, SOAP, Webhook, X12) bridging anything not yet in the catalog. Activating one of the scaffolded targets is roughly one day of senior-implementer time per adapter — the codegen does most of it. If your stack is in the scaffolded set, we activate it during pilot kickoff. If it's truly novel (an on-prem fork, a custom DB schema), we scope a custom adapter into the pilot fee in writing before you sign.
Can we pause the pilot?
Yes. The master-agreement template includes a pause clause — written notice, immediate effect, no cancellation penalty. The 90-day clock pauses; resumed days count from the same point. The most common pause trigger is an unrelated systems migration on your side; the second is your sponsoring executive's vacation. Both are normal.
What happens to our data after the pilot ends?
If you don't sign a commercial contract, your tenant is exported, your read-only credentials are revoked, and your tenant is deleted within 30 days — verifiable in writing. You receive a copy of the KPI definitions you configured, the prompt templates The Captain learned for your operation, and the conversation audit log. You keep the work; we just stop running it. Full data-residency and exit detail on trust.html → portability & exit.
Do we have to be a named public reference?
No. Reference willingness is optional and never contractual. Named design partners go public only with explicit written consent — never as a marketing announcement. The first named partner will be a milestone, not a press release. Design partners who decline to be named keep every other commercial benefit (locked rate, rebate mechanic, roadmap influence, direct founder access).
Who owns the IP of pilot-period configuration?
You own your KPI definitions, your prompt templates, your scheduled cadences, and your role-mapping. OpsATC.AI owns the underlying platform code and the vertical configurations that ship as part of the platform. Where your configuration informs the shipped vertical config (the "roadmap influence" benefit), we name your operation as the source in the changelog — with your consent — and you receive the same commercial protections design partners get on every shipped version that lands in production.
If your operation is ready to be early, let's talk.
Email brian@opsatc.ai 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 brian@opsatc.ai 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 (The Captain) 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 brian@opsatc.ai 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.