AI engineering for production
From prototype to production — on your infrastructure, under your rules.
We build the systems, not the slideware: retrieval platforms, vision inspection, forecasting engines and bounded agents. You get the source code, the weights and a team trained to run it.
6 weeks to first deployable · fixed scope · full source handover
Capabilities
A model is maybe 20% of a working AI system. We build the other 80% — ingestion, retrieval, evaluation, serving, monitoring and the integration into the workflow where the value actually lands.
Production language systems — fine-tuned, evaluated and guard-railed for your domain, not a wrapper around a public chatbot.
Learn moreRAG that holds up under audit: hybrid retrieval, reranking, citation enforcement and evaluation you can point an auditor at.
Learn moreInspection, detection and measurement models that run at line speed on the hardware you already own.
Learn moreForecasting, risk scoring and optimisation models that account for the messy seasonality of real operations.
Learn moreBounded, observable agents that execute multi-step work against your real systems — with approval gates where they matter.
Learn moreThe unglamorous half that decides whether a model survives contact with production: CI, evals, monitoring, rollback.
Learn moreCase studies
−38% Defect escape rate
Inline vision inspection on two high-volume lines, replacing 4% sampled manual QA with 100% coverage at 240 parts per minute.
Read full study70% Documents automated
Audit-grade retrieval over 4.1M pages of credit files, cutting mean review time from 34 minutes to 9 with every answer citation-locked to source.
Read full study+22% Forecast accuracy
Hierarchical probabilistic forecasting across 1,100 stores and 38,000 SKUs, cutting stockouts 31% while reducing inventory carrying cost.
Read full studyIn their words
Quotes from the engineering and operations leads who ran these programmes with us. (Illustrative quotes grounded in real client outcomes.)
Engagement model
Five phases, six weeks to a first deployable, a named deliverable at every step. You always know what you are getting and when.
Find the problem worth solving and the number that proves it.
Week 1
Design the system end to end before writing production code.
Week 2
Ship working software in weekly increments you can actually use.
Weeks 3–4
Prove the system works before it touches a customer.
Week 5
Put it into production, then hand over the keys.
Week 6+
Fixed-scope engagements with weekly demos. You see working software in week three, not a deck.
Your VPC, your on-prem hardware or fully air-gapped. SOC 2-aligned controls, DPAs, and no training on your data.
You get the source code, the weights, the infrastructure-as-code and the documentation. No platform lock-in.
Integrations
We build on the platforms and model providers you already pay for — no new vendor to adopt, no data leaving the boundary you control.
Technology partners — ask us about your stack.
How KODA compares
Most firms sell AI. We ship it — on your infrastructure, under your rules, with the source code in your hands in six weeks. Here is how that stacks up.
Not sure which bucket you are in? Read how our engagements work or book a 45-minute scoping call — no obligation, and we will tell you honestly if there is a system worth building.
Fixed scope, full source handover, on your infrastructure. A 45-minute conversation is usually enough to tell whether there is a system worth building.