Intelligent systems, built to specification.

Most AI projects stall before production. We design and deliver the systems that reach it — specified with engineering rigour and backed by accountable delivery.

See what we build Start a project
Reference architecture of a production agentic delivery platform: channels feed an API gateway into an orchestration layer of planner, research and executor agents over shared memory, routed to model providers, grounded by vector stores and an audit ledger, governed by policy guardrails and continuous evaluation. FIG. 01 · AGENTIC DELIVERY PLATFORM · PRODUCTION REFERENCE REV A · SIGNED ✓ WEB & MOBILE INTERNAL SYSTEMS EVENT STREAMS API GATEWAY — AUTHN/Z · RATE LIMITS · SCHEMA CHECK p95 ≤ 250ms ORCHESTRATION LAYER PLANNER AGENT task graphs · replans RESEARCH AGENT retrieval · synthesis EXECUTOR tools · side effects SHARED MEMORY / STATE — VERSIONED · REPLAYABLE · TIME-TRAVEL DEBUGGING OBSERVABILITY GUARDRAILS · POLICY MODEL ROUTER frontier fast local embeddings cost-aware VECTOR STORE KNOWLEDGE INDEX AUDIT LEDGER CONTINUOUS EVALUATION · DRIFT WATCH · SHADOW TESTS · NOTHING PROMOTES ITSELF auto-replan on regression · eval suite: 1,204 cases ✓ ALL COMPONENTS VERSION-CONTROLLED · RELEASES SIGNED
The pattern behind every engagement — autonomy that arrives with its own audit trail.

What "production AI" actually involves.
Watch it breathe.

Every engagement runs a version of this loop — data to fine-tuning to evaluation to guarded inference and back. This is the honest map, not the brochure.

Animated lifecycle of a production AI system: data ingestion, curation, fine-tuning, evaluation, registry, canary deployment, inference routing with cache, guardrails, observability, feeding back into fine-tuning. FIG. 02 · PRODUCTION AI LIFECYCLE · CONTINUOUS LOOP REV B · LIVE 01 · DATA PLANE DOCUMENTS 12.4M EVENT STREAMS 8.2M TELEMETRY 41M/day CURATION & DEDUP exact hash + fuzzy near-dup QUALITY GATES score = .92 02 · TRAINING FINE-TUNING LoRA adapters · checkpointing base frozen · Δ merged on promote LOSS step 4.2k EVALUATION HARNESS 1,204 cases · pass@k pass@k ✓ MODEL REGISTRY signed · versioned v14.2 ✓ signature valid PROMOTE ON GREEN ✓ 03 · DEPLOYMENT CANARY DEPLOYMENT 5% 25% 100% INFERENCE ROUTER frontier fast local cost-aware CONTROL PLANE · POLICY SYNC egress inspection hit 71% SEMANTIC CACHE vector kNN · TTL 6h HIT 71% SAFETY PLANE GUARDRAILS & POLICY ✓ PII redaction ✓ jailbreak shield ✓ tool-policy engine ✓ schema validation INSPECT → ANNOTATE → BLOCK 04 · GROUND TRUTH OBSERVABILITY traces · evals · drift · cost 1,284 tok/s eval pass 96.4% AUDIT LEDGER append-only · hash-chained TAMPER-EVIDENT ✓ CONTINUOUS IMPROVEMENT LOOP EVERY STAGE VERSIONED · EVERY RELEASE EVALUATED · EVERY ACTION LOGGED
data plane control plane safety plane feedback loop

What we see in the field.
What we do about it.

The problem

AI pilots that impress in demonstrations but fail at formal review.

What we do

Agentic systems with evaluation gates, guardrails and full audit trails — designed to withstand formal review.

The problem

Cloud platforms that drift, grow more expensive each quarter and depend on individual heroics to stay operational.

What we do

Platforms defined as code, with predictive scaling, anomaly detection and automated remediation — so issues are resolved before they reach your queue.

The problem

Delivery pipelines where security review is the bottleneck and fixes take weeks.

What we do

Pipelines with automated analysis and remediation under policies you define — so security keeps pace with delivery.

The problem

Transformation programmes that are strong on presentation but thin on engineering capacity, stalling before go-live.

What we do

Programmes led end to end by senior engineers — scoped precisely, staffed appropriately and carried through go-live.

“Anyone can demo intelligence.  We make it reliably boring.”

Seven disciplines.
Each one runs in production.

Each panel illustrates the practice operating in a production context, with the architecture, controls and operating characteristics we implement for clients.

Agentic systems from architecture and model integration through evaluation and deployment.

In practice: AI engineer · agent developer · LLM integrator · deep agent frameworks · MCP / A2A orchestration · context engineering · eval-driven delivery

Engage us

Three ways
to work together.

Select the engagement model that suits your requirements: a system delivered to specification, our engineers within your team, or independent senior review before significant expenditure.

  1. MODEL 01

    Fixed-scope build

    We scope, design, build and hand over — with cost, timeline and acceptance criteria agreed in writing before kickoff. You receive the system, its documentation and the audit trail.

  2. MODEL 02

    Embedded specialists

    Senior AI, platform, database, security and cloud engineers inside your teams — individually or as intact pods. Managed and quality-assured by us, engaged by the month.

  3. MODEL 03

    Review & advisory

    Architecture reviews, evaluation audits and go-live readiness checks — including on systems we did not build. A written assessment with risks ranked, before they become production incidents.

Why TechBy

Four reasons
clients bring us the hard problems.

R—01

Two decades, every layer

Development, databases, infrastructure, cloud, platform, security and operations — experience gained through direct delivery across enterprise programmes.

R—02

Focus, not breadth

Every capability points at the same outcome: systems that survive production. That focus is why clients call us first.

R—03

Specification before code

Specifications precede code. Evaluation precedes release. Sign-off precedes acceptance. You always know what was agreed and what was delivered.

R—04

Senior by default

Small teams in which each engineer brings ten or more years of experience. The engineer who scopes your system is the engineer who builds it.

Careers

Engineers who sign their work — we're hiring.

If you hold yourself to production standards and want demanding work at the frontier of the field, we invite you to review the open roles.

Join the team →
Contact

Send us the brief.

Describe the problem and a senior engineer will respond with a proposed scope and an honest estimate.

  • Acknowledged the same business day
  • A scoped, honest reply within one business day
  • Reviewed by a senior engineer from first contact

Stored securely in our encrypted database and reviewed by a human — we reply within one business day.