The studio

The systems your team is trying to build.
We already run them.

AI reads, code decides, people handle the exceptions. We turn document-heavy operations into governed AI systems: reading, extracting, deciding under rules a database enforces, with a full audit trail. Deployed on infrastructure you own, in weeks, not a deck.

Book a working session See what you can buy

Or call our own production voice agent and try to break it: +1 (617) 766-0577.

The flagships: two production systems, one staffing firm

The client stays unnamed. The work speaks. Both systems run for the same staffing firm: the agent platform that operates the back office, and the marketplace that gates its subvendor supply chain.

The agent platform's public face: a photoreal WebGL iris over true black with the line: I watch the whole firm.

Flagship 01 · Agent platform

An agent fleet runs the back office.

Finance, sales, recruiting, account intelligence, federal capture: specialist agents plus an apex that sees the whole firm, speaking to operators over chat with voice, documents, and vision. The governance is mechanical. Agents read through views only, every table carries row-level security, and every outbound message rides a human approval bound to the exact content hash. LLMs advise. Code and humans decide.

Its public face is the eye above: a deterministic WebGL iris, seeded once and frozen, each specialist owning a true angular sector of the whole. Built and gate-tested; the redesign ships next.

sevenspecialized agents
1,209runtime test cases
94governed tables
Roster: the marketplace splash with a hand-drawn chalk play diagram and the line: Earn your spot on the Roster.

Flagship 02 · Compliance marketplace

Roster: a compliance gate fused to a supply chain.

The same firm's subvendor marketplace, live in production. Requisitions release only to vetted partners. AI reads the insurance, tax, and banking documents; a deterministic rule engine issues the verdict; a human approves; the agreement e-signs in production. Placements ride an append-only event spine with a hard ownership lock, and a margin firewall keeps every bill rate out of the portal and out of every model prompt.

Document to decision in ~5 s on the compliance plane. The splash above is live today; the data on it is illustrative by design, because a compliance product does not fake dashboards.

106krequests, zero failures, 200 VU
1,160test cases gating CI
12 mindowntime, live DB migration

What you can buy

Fixed scope, fixed price, published below. Half to schedule, half on delivery: if it is not deployed and working, you do not pay the back half.

Voice Agent Production Readiness Audit

$5,500 · 5 business days

Your voice agent survives the demo. We audit whether it survives real callers: every tool call and webhook on the path, auth and secrets at the edge, booking races and calendar truth, CRM capture and deduplication, transcript persistence, failure visibility, and prompt-injection posture on public caller input. Ranked findings, critical fixes shipped or precisely scoped, and a regression checklist your team keeps.

For: agencies and teams running Vapi, Retell, or ElevenLabs agents in front of customers. Ours answers +1 (617) 766-0577. Call it. Try to break it.

AI Document Pipeline

$14,500 · 2-3 weeks

Email/portal intake → AI classification & extraction → deterministic rule engine (AI never auto-approves) → human-review queue → writes to your system of record. AV scanning, idempotent processing, audit trail, 30-day warranty.

For: invoices, COIs, claims, intake packets, contracts, or any document flow a human is drowning in.

Production Agent Build

$8,500 · 2 weeks

One agent workflow, end to end: your integrations (CRM, email, Slack, DB), guardrails and injection-hardening, observability, dead-letter handling, deployed on your infra or ours.

For: triage, enrichment, follow-up, reporting, or the workflow your team does manually every day.

AI Enablement Sprint

$3,500 · 1 week

Your dev team, upgraded: Claude Code setup with persistent memory and search, MCP tooling, CI guardrails, two live working sessions, and a written playbook.

For: teams who bought the tools but aren’t getting the velocity.

Agent Platform Build

from $25,000 · 4-6 weeks

The thing your team has been trying to stand up internally: a control-plane skeleton, your first two production agents, persistent memory layer, governance rails (database-enforced rules, audit trails, human override paths), and the playbook to add agent three yourselves.

For: companies past the chatbot phase. We already run this pattern, shown in Infrastructure above.

Production Readiness Audit

$5,500 · 1–2 weeks

Your AI system, audited like we audit our own estate: CI and test gates with teeth, secrets architecture, deploy and rollback posture, backup and recovery reality, dependency and vulnerability sweep. Deliverable: a ranked findings report with critical fixes shipped or scoped, and the hardening plan your team can execute.

For: teams running AI in production, or about to, who want the unglamorous layer checked before it fails quietly.

Every engagement: fixed scope, fixed price, 50% to schedule, 50% on delivery. If it isn’t deployed and working, you don’t pay the back half.

How an engagement starts

  1. Working session · 30 minutes, free. Your system and what it would take to ship. You leave with direction whether or not you hire us.
  2. Diagnostic · optional, $1,500 flat. A deeper two-hour workflow map and a written build plan you keep, credited in full against your first build if we proceed. For teams who want the full picture before committing to a pilot.
  3. Fixed-scope pilot. One priced offer from the ladder above, deployed in weeks. If it is not deployed and working, you do not pay the back half.
  4. Operate or hand over. We run the system, or your team takes the playbook and owns it. You own the code, infra, prompts, and docs either way.

Every engagement is founder-led. Your session is with Cap.

How we ship

Every build runs the same rail: scope, spec, adversarial review, test-gated build, live verification. Every phase gates on a failing test written first. A green run that skipped the work is treated as red. Adversarial reviewers attack each change before it merges, and verification gates refuse unproven claims. People make the judgment calls; the fleet does the labor.

SCOPE / SPEC / ADVERSARIAL REVIEW / TEST-GATED BUILD / VERIFY LIVE

The shelf: products we run

The public tier of the portfolio. The live ones open right now; every number carries its receipt. The screenshots live in the case studies, where they are evidence.

Marrow open source

semantic memory for production agents

Persistent, citing, honest memory over an operating history. Hybrid retrieval with reciprocal rank fusion; answers cite their sessions or abstain. It is the layer under everything else on this shelf, and under our own seven specialized agents. The engine is now open source, Apache-2.0.

clone it · github.com/gnosislabstech/marrow

6,160working sessions
149kindexed chunks
157msretrieval p50

Glassbridge live

stateful ai · game-master engine

A live AI game-master: serialized narrative state, streaming responses, cost-hardened. Production stateful AI, the hard kind. Open it and play.

running now · glassbridge.gnosislabs.tech

DawnForged

event-sourced rpg engine

A deterministic state kernel under the model: full event-sourced history, a 36-table spine, tested and containerized, carrying a novel-scale canon. Proof the stateful discipline holds at narrative depth.

engine + canon · whiteboard-able on a call

OurPool live

real-time consumer platform

Real-time World Cup pool: live scoring pipeline, push notifications, chat, guest→account merge. Concept to production in under three weeks; ran live through the 2026 World Cup.

<3 weeks concept to production · ourpool.app

Side live

consumer quiz + affiliate engine

48-team content system, magic-link auth, share loops, conversion instrumentation, SEO. Live and transacting.

live + transacting · sidenow.app

The real work: systems we run in production

Client and internal systems, so described rather than linked. Every one of these is whiteboard-able, in depth, on a call.

01

Vendor-compliance platform

The document plane behind Flagship 02 above. Email to decision in ~5 seconds, proven end to end. AI document review: vision extraction → deterministic rule engine → human-review queues → e-signature → ERP sync. Multi-tenant, AV-scanned, fully audited.

02

Cognitive runtime

A production AI memory and identity substrate running since Q1 2026: persistent semantic memory, scheduled reflection cycles, multi-channel (chat, terminal, API), row-level-security firewalls. Recently live-migrated between databases with 12 minutes of downtime. Fail-closed security proven on prod, rollback armed throughout. AI systems with state are a different sport, and we play it daily.

03

Agentic control plane

The substrate under Flagship 01 above. Seven specialized agents over an operational warehouse: event bus, per-agent cognitive schemas, governance rules enforced in the database, and honesty contracts in code. The API returns “source unavailable” instead of fabricating when upstream is dark.

04

Autonomous PM agent

Runs our own portfolio: scheduled digest and drift-detection cycles, an AST-validated SQL sandbox, role-level cross-database firewall. The fleet manages itself so the humans can build.

05

Stateful AI engine

Event-sourced AI applications where state, memory, and consequence persist across long sessions: a deterministic state kernel under the model → full event-sourced history → dozens of normalized domain tables, with a complete test suite and container pipeline. The hard kind of AI: the kind that doesn’t forget and doesn’t drift.

06

Real-time data-ingestion pipeline

Forty-plus live external APIs → multi-source normalization → an algorithmic model layer → ranked, explainable decisions on an automated daily cadence. The same ingest–normalize–decide pattern we put on invoices, claims, market signals, and intake docs.

07

Autonomous orchestration harness

Complex work run as structured, checkpointed phases: fan-out → adversarial verify → consolidate → resume-on-failure. The control pattern behind agents that finish multi-step jobs without a human in every loop.

Why our systems survive production

About

Gnosis Labs is an independent studio. Every system on this site was built by one engineer and the agent fleet he runs; that leverage is what we sell. We run production fleets and cognitive runtimes of our own design, and we build the same class of systems for clients. Eighteen years across technical operations and delivery. Full-stack AI since the start of the agent era.

Questions buyers ask

What does Gnosis Labs build?

Gnosis Labs builds production AI agents, document automation pipelines, and agent platforms for companies. The studio also runs its own multi-agent systems in production, with persistent memory and database-enforced governance, and ships its own consumer AI products. Every system is multi-tenant, guarded, monitored, and deployed, not a demo.

How can Gnosis Labs deliver in weeks what agencies quote in months?

Every build runs through an in-house agent fleet: specialized builder agents in isolated workspaces, adversarial reviewers that attack each change before it merges, and verification gates that refuse unproven claims. People make the judgment calls and the fleet does the labor, which removes calendar time without cutting corners.

How much does an AI agent or document pipeline cost?

Pricing is fixed and published. An AI Enablement Sprint is $3,500, a Voice Agent Production Readiness Audit is $5,500, a Production Agent Build is $8,500, an AI Document Pipeline is $14,500, a Production Readiness Audit is $5,500, and an Agent Platform Build starts at $25,000. Half is due to schedule and half on delivery.

How long does an AI build take?

Most engagements ship in one to six weeks. A sprint is one week, an agent build is two weeks, a document pipeline is two to three weeks, and a full agent platform is four to six weeks.

Do I own the code and infrastructure?

Yes. You own the code, infrastructure, prompts, and documentation. There is no platform lock-in and no rented black box.

How do you keep AI systems reliable in production?

AI handles perception, deterministic code makes the decisions, and humans handle the edge cases. Models never auto-approve anything load-bearing, and inconclusive cases route to a person. Systems are AV-scanned, idempotent, and fully audited.

What has Gnosis Labs already shipped?

Live systems include OurPool, a real-time World Cup pool platform; Side, a consumer quiz and affiliate engine; Glassbridge, a stateful AI game-master engine; and Marrow, the semantic memory engine under the studio’s own agent fleet. Behind them: DawnForged, an event-sourced RPG engine, and the client systems described on this page.

What is a Production Readiness Audit?

A fixed-price, one-to-two-week review of an AI system’s operational posture: CI and test coverage, secrets handling, deploy and rollback paths, backups, and dependency health. You get a ranked findings report, critical fixes shipped or scoped, and a hardening plan. It is the same discipline we run on our own estate, pointed at yours.

What is a Voice Agent Production Readiness Audit?

A fixed-price, five-business-day audit of a deployed voice agent: the full call path from telephony through tool calls, webhooks, calendar booking, and CRM capture. We attack the failure paths a demo never hits: wrong HTTP methods, silently dropped parameters, stale tool configurations, booking races, orphaned transcripts, and prompt injection through caller speech. Our own receptionist answers +1 (617) 766-0577 on exactly this discipline. $5,500, half to schedule. Delivery and acceptance are explicit: the ranked findings report, the agreed critical fixes shipped or precisely scoped with evidence, and a regression checklist your team keeps.

Call the live agent Book a call cap@gnosislabs.tech

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