Your agents. Your edge.
Nobody else's.

Don't rent it. Don't be hostage to it.

Models are ready — and commodity. The continuous improvement loop on your data is the moat. Are your agents getting better on it? Is the institutional knowledge they generate staying yours — or training someone else's?

Talk to us about your core workflow Try the live demo

ownEvo is the platform for core agents — running on your workflow, capturing every failure as an eval case, regression-testing every improvement under your domain expert's approval. Owned by you. Evolving with you.

We build the loop — sim engine, failure clustering, regression gate, plain-language steering. You own the edge — the agent, the eval set, the improvement history, and the institutional knowledge it accumulates. Export anytime; the agent keeps running, even without us.

§ 01 · Why

Your knowledge is the new moat. Don't give it away.

Every time your agent fails, that failure is a signal — about your customers, your process, your edge cases. Most platforms capture that signal and use it to improve their model for everyone. Including your competitors.

The current deal

Your failures train their model. Your competitors benefit.

Your demand forecast misses. Your agent logs the failure. The platform ingests it. Their model improves — for all their customers. Your edge case becomes their product roadmap.

The ownEvo alternative

Your failures feed your loop. The lesson stays yours.

Failures are captured, clustered, and converted into eval cases inside your infrastructure. The improvement loop is yours. The knowledge compounds. No signal leaves your walls.

You paid for the failure. They captured the lesson.

The distinction

Every vendor sells ops automation. Only you can build core agents.

One is interchangeable infrastructure. The other is how you actually compete. The distinction is the whole game.

Ops Agents — anyone can buy these

Table stakes. Interchangeable. No durable advantage here.

HR onboarding workflows
Sales outreach sequences
Marketing campaign automation
Expense approvals
Meeting summaries

Core Agents — only you can build these

Your competitive edge. The institutional know-how that lives in no document.

How you forecast demand at SKU-location granularity
How your underwriters price risk through a credit cycle
How your clinical teams design trials that get approved
How your buyers push back on supplier cost-builds
How your network right-times spectrum reallocation

The loop

A static agent degrades. The loop is the only defense.

Deploying an agent is the starting line, not the goal. What matters is what it knows on day 365 — and whether that improvement belongs to you or to someone else.

00Define — the domain expert writes the workflow and the requirements in plain English. From that description the platform generates the simulator, the eval case set, and the success metric — the substrate the loop runs on, before any production traffic. Description to running agent in under two minutes. No engineering ticket. Try one case in the sandbox before you commit anything.
01Run — the agent operates on real decisions, real outcomes, real data. Not a demo, not synthetic events.
02Capture — every failure traced. Tool errors, hallucinations, retention violations — all structured, all queryable.
03Cluster — failures grouped by root cause. The same kind of error happens many ways; the cluster is what to fix, not the individual trace.
04Eval grows — each cluster becomes a reusable eval case. The seed set compounds with every cycle.
05Propose — a candidate fix passes two gates: it must resolve the new failure and leave every prior fix intact. The eval set is the gate.
06Approve + steer — the domain expert directs the agent in plain language at any time. Approve to ship; redirect to refine; reject to create an eval case. Workflow edits go through the same gate, with tradeoffs visible before commit.

Already have an agent in Microsoft Copilot, Agentforce, or your own stack?

Bring it. Paste the instructions, point us at your trace export, and the loop sets up around what you already have. No rip-and-replace. The agent keeps running where it runs today; the improvement layer is what's new.

Where it runs

Run anywhere. Own everything. Lock in to nothing.

Owning your agents is not a philosophical position. It is a set of concrete properties that either your system has or it doesn't.

Any model, any provider

Claude, GPT, Llama, Mistral — or any open-weight model you choose. Swap models without rebuilding. The institutional knowledge travels with the agent, not the model provider.

Local if you need it

Regulated data that can't leave your walls? Run fully local. 80–90% of routine decisions handled by local models at near-zero cost. Cloud inference reserved for the complexity that genuinely needs it.

Export any time

Memory, eval set, improvement history, skill layer — all export in an open format. The lock-in is the institutional knowledge you've accumulated. That belongs to you, not to us.

What the domain expert opens on Monday

Four screens. Real data. No mockups.

Captured live from the running system. The same surfaces your domain expert touches every cycle. Click any image to enlarge.

Workflow overview — plain-English description, improvement curve climbing across four iterations, recorded iteration list, agent anatomy panel — **Workflow overview.** The improvement curve climbing across iterations, the eval suite at a glance, and the agent's anatomy — skills, tools, reviewer, success metric — on a single page.

Design with the agent — discovery interview surfacing the metric trade-off with four options, each carrying a recommendation grounded in the operator's own description — **Design with the agent.** A short discovery interview before generation. The agent surfaces the metric trade-off and one or two ambiguities most workflows miss on the first pass. Answers become hard constraints.

Proposal review — side-by-side skill diff between V1 and V2, why-this-change rationale, regression gate verdict, audit chain entries, approve / request changes / reject controls — **Proposal review.** Side-by-side skill diff, why-this-change rationale, the regression gate's verdict. Approve, request changes, or reject — in plain language, no code.

Audit trail — append-only hash-chained log of every state change in the workspace with Export chain and Verify chain controls — **Audit chain.** Append-only log of every state change. SHA-256-hash-chained at the database. Export as canonical JSON; verify the chain end-to-end at any time.

Try the live demo Source on GitHub. Self-host in one command.

§ 05 · Who

For the people who own the core.

Not for ops automation buyers. For the workflows that decades of institutional knowledge have shaped — and that one wrong vendor choice could leak.

The domain expert owns the agent. No engineering ticket to change it. No quarterly release cycle to wait on. Plain-language approval. Plain-language steering. The audit chain underneath, every step.

Supply Chain VP

The margin is in decisions that happen 10 million times a week.

Tired of rebuilding demand models every planning cycle. Wants an agent that compounds — one that knows your category, your suppliers, your seasonal patterns, and gets better at it every quarter without starting over.

Chief Risk Officer

Your edge is in proprietary signal. Don't share it to improve their model.

Knows the competitive advantage is in the feedback loop running on their claims and transaction data. Won't share loss development factors with any vendor. Needs the improvement loop to stay inside the institution.

Chief Medical Officer

The most expensive mistake is the one that already happened once.

Watched clinical knowledge walk out the door when senior researchers retired. Wants a system where every trial design decision, every formulary outcome, every adverse event pattern leaves something behind — permanently.

Which of your core workflows do you want to start with?

Not a generic demo — a conversation about a process where your institutional knowledge is your edge, and what it would mean if that process never stopped improving.

Tell us about your core workflow

Design partners get free white-glove implementation. We sit with your team, set the loop up around your workflow, and stay until the first quarter of compounded improvement is real.

Supply chain · Finance · Healthcare · Legal · Any core workflow

Your agents. Your edge.Nobody else's.