Work that proves it finished. Solutions for your domain, plus custom harnesses.
Each solution runs its domain's work as an enforced, replayable process, calibrated against evals until the scores converge.
Harness-neutral across the 12 supported coding agents, closed or open models alike. Cheaper tokens hold the same bar for done, because the calibration is what carries the quality.
Watch one piece of work run twice: on the left nothing stops it, and three ordinary failures surface late; on the right enforcement holds, refuses, and answers. Here is the same day, twice.
send.executedno approval recorded
finding.reportedno proof attached
cohort.requestedcannot be reconstructed
breakpoint.holdingsend waits for a growth lead
gate.refusedfinding blocked until the proof re-runs
memory.asofthe cohort answers as it was defined
The rest of this page is the alternative: work that proves it finished, and a record that replays.
01Calibration
Calibrated the way a model is trained.
The harness (agent, skills, tools, process, memory; built around any of the 12 supported coding agents) is calibrated to a domain against evals: tasks with known-good outcomes.
Everyone who tunes a harness runs this loop by hand; each solution packages it and keeps it running.
- 01Define
- Write evals for the domain: tasks with known-good outcomes, and the process a run must follow.
- 02Run
- Execute them as real runs, with gates, budgets, and a journal.
- 03Measure
- Score process obedience and output quality on every run.
- 04Adjust
- Change the process, skills, and memory; the model stays as it is.
- 05Repeat
- Until scores converge on the target. Re-run the evals to catch regression.
The eval instruments are open: obedience-benchmark scores process-following across seven dimensions; Babysitter scores quality inside every run.
Get more from the model you already run.
A mid-tier or open model under a calibrated harness can outperform a stronger model run bare. The harness gives every LLM operation process and order: gates on every step, a process that cannot be skipped, memory that holds. The model choice stops being the risk; we operate with closed and open models alike.
Cheaper tokens, the same bar for “done”: the calibration is what carries the quality.
02The solutions
The solutions, and one more path: yours.
Each solution is delivered as an operated service, behind a console built for the people who do the work; the consoles shown are concept renderings of the operating surface.
Security research
Security
For security researchers, red teams, and detection engineers.
See how it works
Growth engineering
Growth
For growth teams that run the funnel.
See how it works
Clinical and health research
Health
For clinical and health-research teams.
See how it works
Agent and harness engineering
AI Engineering
For teams building agents.
See how it works
Scientific research
Science
For research groups.
See how it works
Your domain
Custom harness
For teams whose domain is not among the solutions above.
Start with the intro call
Test it yourself, or run it with us.
The open components are free and open source, MIT where noted. Install them, run a process, and read the journal it writes: test it yourself before you ever talk to us.
Assembling a domain solution from them is a different job. Someone has to write the evals that define good work, calibrate the process, skills, and memory against those evals until the scores hold, wire the harness into how your team already works, and keep operating it as models and tooling move. That is weeks of specialized work to stand up, and continuous work to keep calibrated: effort that competes with the roadmap you hired your engineers for.
An engagement is that work, done with you and operated. The calibrated harness, the evals, and the replayable record stay yours, and keep working after the engagement ends.
03The shared spine
Under every solution sits the same contract: gates block until their criteria are met, with evidence; every run replays, deterministically. A gate holds before any send, spend, or active scan.
The open components are the chassis. The solution is what no download can give you: a harness calibrated to your domain, wired into your workflows, and operated until it holds. That part is built with you. Ask for a demo and watch the difference in one run.
04The engagement
How an engagement runs.
- 01Scoping sessions
- Once we have agreed to work together: in-depth sessions on the business, the goal, and where to take it, with your team. These take real time.
- 02A sprint
- Your team provides the information and the tools. Often includes agentic-focused process mining, not in its traditional sense: surfacing how the work actually flows.
- 03Create or integrate
- Build the solution, or integrate an existing one with your processes.
- 04Handover
- A defined period where operation passes to your team.
- 05Support
- We stay on.
It all starts with a smart intro call: 30 minutes, free.
Engagements take a few shapes: run the open stack yourself, a fixed-scope harness calibration over a defined stretch, or a solution we operate with you. We fit the shape to the domain on that call.
05Your domain
Your domain may not be among the solutions above. The loop still applies.
Bring the domain; we bring the loop: your process enforced in code, your evals run until scores converge.
What you keep is a calibrated harness you can re-run whenever the work recurs. The next result you cannot defend in a postmortem is the argument for starting now.
{"seq":4,"ts":"2026-07-20T09:14:33Z","event":"gate.refused","gate":"claims-sourced","detail":"progression blocked; revise task dispatched"}{"seq":5,"ts":"2026-07-20T09:17:58Z","event":"task.completed","task":"revise-notes","detail":"claim sourced, or cut"}{"seq":6,"ts":"2026-07-20T09:18:00Z","event":"gate.checked","gate":"claims-sourced","detail":"every claim carries a source","criteria":{"met":3,"of":3}}{"seq":7,"ts":"2026-07-20T09:18:00Z","event":"gate.passed","gate":"claims-sourced","detail":"next step unlocked"}
Talk to us about a custom harness or a demo for your domain.
A demo is a live run against a target you choose.
Or emailhello@a5c.ai
The intro call is 30 minutes and free.
Or write it here.
Runs execute on a Kradle cluster: ours, or one we stand up and operate in your environment. Tell us your constraint and we will confirm the fit on the intro call.