Prove your AI works before it reaches production.
An enterprise AI engineering consultancy. A golden set and a CI gate before the first pipeline, and the tenancy, cloud, and observability work that keeps it standing once the traffic is real.
Every engagement includes
- A written decision record for every consequential choice
- An evaluation harness and CI gate before any AI pipeline
- Working software in production — not a prototype
- The same engineers from the first call to production
Fixed scope. Fixed price. No bench to keep busy.
- No pyramid
- The engineers who scope the work are the engineers who build it.
- Fixed scope
- Priced and bounded before we start, not reconciled after.
- Evaluated, not demoed
- A golden set and a CI gate before the pipeline, not after the pilot.
We think most software is bought as a project and inherited as a liability. Everything about how we work is an argument against that.
How we build it
Three architectures we bring into new engagements, each written up in full — schema, code, failure modes, and the trade-offs we would argue about.
- AI systems
Contract intelligence platform
Hybrid retrieval over a high-volume document corpus, with citation-grounded generation and a review queue for anything under the confidence threshold.
- Retrieval
- Hybrid
- Grounding
- Cited
- Pilot
- 6–8 wks
- Cloud platform
Multi-region platform, staged
Four stages from single-AZ to active-active, each one removing a named failure mode. Most teams should stop at stage two, and we will say so.
- Stages
- Four
- IaC
- Terraform
- Pilot
- 8–12 wks
- Custom development
Multi-tenant SaaS foundation
Tenancy and isolation model, SSO with role-based access, metering hooks, and an audit log — the work that has to exist before feature delivery gets predictable.
- Isolation
- RLS
- Access
- SSO + RBAC
- MVP
- 12–16 wks
Applied engineering research
Whitepapers and technical guides published in full — schemas, working configuration, measured trade-offs, and the failure modes each decision is designed against.
- Whitepaper18 min read
Pay for an agent only where steps are unpredictable
You are choosing between a system that decides what to look up once and one that decides on every step. At list prices, eight steps bill roughly ten times more.
- Agents
- RAG
- Technical guide16 min read
Microservices: when the boundary earns its cost, and when it does not
Service count is not the goal — independent deployability is, and the two are frequently unrelated. A decision framework, the arithmetic a network boundary adds, and the five situations where the correct answer is one service.
- Architecture
- Microservices
- Whitepaper22 min read
Cloud observability: instrument everything, keep almost none of it
The three questions an on-call engineer actually needs answered, the signals that answer them, and why your bill is set by cardinality and retention rather than traffic. With Collector config, burn-rate alerts, and list prices from six platforms.
- Observability
- OpenTelemetry
Start with the smallest useful thing
A two-week architecture review costs a fixed fee and ends in a document you own. If the answer is that you do not need us, that is in the document too.
What happens next
- A 45-minute call with the engineer who would lead the work
- A one-page scope and fixed price within the week
- No procurement theatre and no bench to keep busy