The studio

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

Persistent memory. Database-enforced governance. Multi-agent orchestration. Running in production here since early 2026, not in a deck. We build the same class of systems for clients: document pipelines, production agents, and full agent platforms. Multi-tenant, guarded, monitored, deployed in weeks.

Book a call [email protected]

Live work you can open right now

The public tier of the portfolio. Open them, use them, then judge the claims below against work you can verify yourself.

OurPool home with live Sal chat thread
OurPool ourpool.app

Real-time World Cup pool platform: live scoring pipeline, AI commissioner persona, push notifications, chat, guest→account merge. Concept to production in under 3 weeks; serving live pools through the 2026 World Cup right now.

 Side landing with the team quiz
Side sidenow.app

Consumer quiz + affiliate engine: 48-team content system, magic-link auth, share loops, conversion instrumentation, SEO. Live and transacting.

 Glassbridge live case board
Glassbridge glassbridge.gnosislabs.tech

A live AI game-master engine: serialized narrative state, streaming responses, cost-hardened. Production stateful AI, the hard kind.
claude-brain terminal semantic search
claude-brain

The memory layer under our own development: a 54k-chunk semantic corpus, hybrid search, MCP server, auto-ingest on every session. The small, visible version of the cognitive systems described below.

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

AI document review: vision extraction → deterministic rule engine → human-review queues → e-signature → ERP sync. Email to decision in ~5 seconds, proven end-to-end. 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

Six 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.

How one studio ships this fast

Every build runs through an agent fleet of our own design: specialized builder agents working in isolated workspaces, adversarial reviewers that attack each change before it merges, and verification gates that refuse unproven claims. People make the judgment calls. The fleet does the labor. That compresses weeks of calendar time out of every engagement without cutting corners, and installing this pattern for your team is exactly what the Agent Platform offer below is.

Offers

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.

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.

Why our systems survive production

About

Gnosis Labs is an independent studio. We run production agent 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 Production Agent Build is $8,500, an AI Document Pipeline is $14,500, 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 claude-brain, a semantic-memory engine for Claude Code.

Book a call [email protected]