Make your company AI‑native.
Cogmenta builds LoOp — on-premise AI that learns from your experts and compounds with every correction. Built for work that cannot be outsourced.
01 Vision
Wherever an expert corrects a machine, there is a workflow to optimize.
Record · annotate · build ontology · close the loop. Same architecture, every domain where judgment is the bottleneck.
Workflow optimization for regulated expert firms.
Per-firm, on-prem, compounding — finance, legal, medtech.
Vertical AI agents across regulated industries.
Consent-bound ontology becomes training fuel that warm-starts every new firm.
From knowledge work to physical expert work.
Same loop, new sensors — labs, factories, clinics, kitchens.
02 The Thesis
Agents only compound where experts correct them.
Horizontal LLMs plateau. Workflow-specific systems — tied to your data, ontology, and corrections — get measurably better every week.
The agent era is vertical.
Generic models plateau on domain reasoning. Winners know one company's workflows, ontology, and corrections deeply.
Private data is the moat.
The work that matters can't go to a public service. Private deployment, behind the firewall, fully auditable.
Corrections are the flywheel.
Every expert edit is a training signal. After 12 months, the system embeds judgment no competitor can replicate.
03 How LoOp Works
Complex workflows become ontology. Ontology compounds into efficiency.
LoOp watches expert work, structures it as ontology, and lets agents optimize against it — edit by edit.
04 Our Product
LoOp
The workflow optimization system, on your own stack.
Full-stack on-premise AI with a workflow optimization layer. Learns your decisions, your judgment — without your data ever leaving the building.
Workflow optimization system
Agentic AI on your real workflows. Experts only touch what needs judgment.
On-prem full-stack AI framework
Hardware, inference, models, pipelines, governance — one private system. Air-gap optional. Zero public-cloud dependency.
Compounding correction loop
Weekly prompt optimization, monthly retrain on your corrections. Month 12 ≠ month 1.
Audit-ready by default
Every decision traceable. Clears disclosure and explainability standards in regulated, safety-critical work.
05 Who It's For
Built for the workflows that can't leave the firm.
Wherever expert work runs on private data or private machines, the same loop applies.
Finance
IB, M&A, asset management, equity research — deal data never leaves the firm.
Legal
Contracts, diligence, IP, litigation — privilege preserved.
Healthcare & Medtech
Clinical docs, regulatory, R&D — HIPAA-grade by design.
Audit & Consulting
Fieldwork, synthesis, decks — the audit trail is the deliverable.
Physical Ops & Labs
Factories, labs, clinics — same loop, new sensors.
06 Engagement
A phased partnership built on trust and results.
Fixed scope, fixed deliverables, no surprises. The loop keeps compounding long after go-live.
Embed with experts. Map workflows, audit data, design architecture.
Ontology, pipeline, expert-tuned models — trained on your sessions, not the public internet.
Production cutover. Expert-in-the-loop on. Benchmarks vs. baseline.
Weekly prompt opt · monthly retrain · quarterly architecture review.
07 Team
A small team. The right one.
Frontier AI research, applied ML at scale, and operating experience inside regulated industries.
Co-Founder & CEO
CS Ph.D. Postdoc in human-centered AI; publishes on systems that augment expert reasoning.
Co-Founder & CSO
Statistics Ph.D. Research scientist · applied ML at scale · prior ops in regulated finance.
Head of ML Engineering
AI Ph.D. Fine-tuning, eval harnesses, private inference at scale.
Embedded Client Lead
Applied AI + prior founder. Embeds on-site to translate workflow signal into the layer.
Hires by referral. Deliberately small. Get in touch.
Request Access
We work with a small number of companies at a time.
Stealth · by invitation. If your team is rethinking how expert work gets done where data can't leave the firm — we'd like to hear from you.