Codigence Labs partners with founders and engineering leaders to take products from first architecture decision to production scale: SaaS platforms, AI agents, and the cloud infrastructure underneath them.
▸ Six layers, one system. Hover or tab through a node to inspect it
Most engagements are a variation on one of these. If yours isn't here, it's usually because it's a combination of two.
Tool-calling agents with typed schemas, retry semantics, and eval suites, not prompt chains that break in production.
Model Context Protocol servers exposing your internal systems to Claude and other clients, with scoped auth per tool.
Multi-tenant, SSO, RBAC, audit trails, SOC2-ready from day one.
Complex domain models, approval flows, and reporting at scale.
Durable, idempotent orchestration with full replay and audit.
Sub-second pipelines on Pipecat, Vapi, and ElevenLabs.
RAG with citations, evaluation sets, and refusal guardrails.
SDKs, docs, sandboxes, and API versioning that won't break clients.
Two-sided, payments, escrow, trust & safety.
Ops consoles that replace fragile spreadsheets.
Self-serve billing, usage, and support.
Real-time analytics over ClickHouse.
Staffing vendors sell a phase. We cover discovery through scaling, because the handoffs between those phases are where products usually break.
10 disciplines
Tap a discipline for deliverables
Every engagement runs the same shape, whether it's an eight-week MVP or a two-year platform rebuild. The durations move; the sequence doesn't.
We pressure-test the problem before writing code. Constraints, users, integrations, and the failure modes that matter.
Interface and system design in parallel, so what gets designed is what can actually be built.
Two-week cycles, trunk-based, behind flags. You see working software every fortnight, not a status deck.
Progressive rollout with observability wired before the first real user arrives, not after the first incident.
Load grows, requirements change. We tune, harden, and extend. Or we hand over cleanly to your in-house team.
We pressure-test the problem before writing code. Constraints, users, integrations, and the failure modes that matter.
Interface and system design in parallel, so what gets designed is what can actually be built.
Two-week cycles, trunk-based, behind flags. You see working software every fortnight, not a status deck.
Progressive rollout with observability wired before the first real user arrives, not after the first incident.
Load grows, requirements change. We tune, harden, and extend. Or we hand over cleanly to your in-house team.
A list of technologies proves nothing on its own. What matters is which layer each one belongs to and why it was chosen, so that's how this is organised.
Agents that call real tools against real systems, with evaluation loops and cost ceilings from the first commit.
Client names are withheld under NDA, so these are described by profile. The architecture and the numbers are the parts that matter anyway.
Finance operations reconciled payment exceptions by hand across four ledgers. Volume had tripled in a year, the queue was permanently two days behind, and every new market added another spreadsheet.
Architecture
Operational knowledge sat behind a mainframe, two Oracle databases, and a SOAP gateway written in 2004. Every AI initiative stalled at the same place: there was no safe way to let a model read that data, and no appetite for a big-bang migration..
Architecture
The product ran as 60 separate single-tenant deployments. Every release took nine days, onboarding a hospital took six weeks of manual provisioning, and infrastructure cost scaled linearly with customers.
Architecture
Four positions we hold, including the ones that occasionally cost us work.
A staffing vendor delivers the tickets you write. We take responsibility for whether the product works, which means pushing back on requirements, flagging the architecture decision you'll regret, and saying no to the feature that will cost more than it earns. That's uncomfortable more often than it's convenient, and it's the entire difference.
Choosing CQRS, or a monolith, or a managed queue over a self-hosted one is not a technical preference. It's a bet on how the company will change over five years. We make those bets explicitly, write down the reasoning, and record what would have to be true to revisit them.
No pyramid. No junior developers learning your domain on your budget while a manager relays status. The people in the discovery call are the people writing the code, and they stay on the engagement. Median team experience is nine years.
We build genuinely novel things: multi-agent systems, MCP servers, sub-second voice pipelines. We build them on unglamorous, well-understood foundations: PostgreSQL, typed contracts, infrastructure as code, tests that actually run. Novelty belongs in the product, not the plumbing.
They killed two features in the first week and explained exactly why. I'd never had an engineering partner argue us out of scope before. It's the reason I trusted everything they said afterwards.
Testimonial 1 of 4
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Bring us an idea, a stalled build, or a system that needs to scale. A discovery call is 45 minutes, costs nothing, and you leave with an architectural point of view either way.
45 minutes · No sales deck · NDA on request