LLM Development
Custom large-language-model engineering (selection, prompting, RAG, and serving) wrapped in production-grade evals.
AI & Machine LearningGenerative AI
Generative AI that ships, scales, and clears audit
Custom LLMs, RAG pipelines, fine-tuning, and safety controls, engineered for regulated estates and cleared through second-line risk before any user touches the model.
0%Model-risk first-pass clearance
0 moMedian time-to-production
0+GenAI features shipped
What we build
Generative AI services we ship end-to-end
Pick a single capability or compose them into a full programme. Every engagement is architect-led and runs through the same eval / governance gates.
AI Chatbot Development
Domain-grounded conversational agents with citation, hand-off, and audit-trail logging from day one.
Prompt Engineering
Systematic prompt design, versioning, and regression harnesses, the discipline behind reliable LLM behaviour.
Governance & Eval Plane
Evaluation, observability, policy, and audit across every agent, tool, and workflow.
AI Automation
Agentic workflows that act on your systems, with tool use, planning, and policy guardrails under human-in-the-loop.
Fine-Tuning Models
Adapter and full-weight fine-tuning on proprietary corpora, with eval gates that prove uplift before deployment.
AI Integration
Embed GenAI into your existing applications, data stack, and identity layer, no rip-and-replace.
Engineering depth
Four technical pillars behind every model we ship
The model is one layer of eight. These are the surrounding capabilities that make a GenAI feature production-grade, not a prototype.
Have a question?Talk to an Expert
01
Retrieval-Augmented Generation
Hybrid retrieval, reranking, citation, and recency policy, grounded answers your auditor can trace.
02
Fine-tuning & adapters
LoRA / QLoRA / full-weight fine-tuning with proven uplift over base models on your domain evals.
03
Evaluation harnesses
Offline + online eval, regression suites, sampled human review, gates that catch drift before users do.
04
Safety & guardrails
Prompt-injection defence, policy engines, content moderation, and structured-output validation by default.
Where it pays for itself
Generative AI applied across regulated industries
Selected programmes from the last 24 months, anonymised where required, specific where it matters.
Banking
Banking
Grounded RAG over six years of policy documents. 47% faster adviser research, zero compliance breaches in 9 months.
Insurance
Insurance
GenAI triage with audit trail per claim. £4.2M annual loss-adjuster cost saved at a top-five insurer.
Healthcare
Healthcare
Ambient AI scribe across 600 clinicians. 41% documentation-time saved, DSPT-compliant from day one of pilot.
Wealth Management
Wealth Management
Generates suitability-aware research summaries with full source lineage. Cleared MiFID II review on first pass.
Legal
Legal
Domain-tuned LLM with clause-library grounding. Cut first-pass review from days to hours across 14 deal teams.
Retail
Retail
Retrieval + generative product copy at scale. Lifted online conversion 11.4% in the first 90 days of rollout.
Our engagement workflow
Seven stages from first call to ongoing support
Every engagement walks the same path, sized to your problem, but with the same verification gates baked in.
Phase 01Discovery
Two-week paid sprint. Architect-led. Output: regulator map, costed roadmap, signed scope.
Phase 02Planning
Pod composition, sequenced milestones, change-control governance, and risk register.
Phase 03Design
Reference architecture, threat model, design system, and acceptance criteria locked.
Phase 04Development
Weekly demos, trunk-based, CI/CD from day one. Code reviewed against spec at every gate.
Phase 05Testing
Unit, integration, e2e, security, performance, and accessibility, automated and gated.
Phase 06Deployment
Blue-green or canary, observability live before launch, rollback rehearsed.
Phase 07Support
Managed services or hypercare hand-off. Defined SLOs, named on-call, monthly reviews.
Success stories
Programmes we have shipped
3.1x
Insurance
Underwriting copilot for a speciality insurer
Drafted first-pass quotes from submission packs 3.1x faster, every clause cited back to the wording it came from.
PythonAzure OpenAILangChainPostgrespgvector
Country · UK
61%
Legal
Clause-level contract drafting for a commercial law firm
Cut first-draft time on regulated commercial contracts by 61%, each clause traceable to firm precedent.
TypeScriptAWS BedrockAnthropicOpenSearchReact
Country · UK
44%
Banking
Grounded knowledge copilot for a retail bank contact centre
Cut average handle time 44% across 2,600 agents, with answers grounded in approved policy only.
PythonAzure OpenAIAzure AI SearchKubernetes
Country · UK
89%
Fintech
Autonomous reconciliation for a payments processor
Resolved 89% of reconciliation breaks without a human, every action logged for audit.
PythonTemporalLangGraphPostgresAWS
Country · DE
7 min
Manufacturing
Self-healing incident remediation for a manufacturer's OT platform
Cut median incident remediation from 41 to 7 minutes across a manufacturer's OT platform, with a human approval gate on every action.
GoKubernetesLangGraphPrometheusOT connectors
Country · DE
73%
Healthcare
Agentic procurement triage for an NHS trust
Routed and matched 73% of purchase requests end to end, escalating only genuine exceptions.
PythonLangGraphAzureSQL Server
Country · UK
18%
Foodtech
Churn prediction for a foodtech subscription platform
Cut voluntary churn 18% in two quarters with next-best-action scoring for a meal-subscription platform.
PythonXGBoostSnowflakedbtMLflow
Country · UK
31%
Fintech
Explainable credit scoring for a digital lender
Lifted approval rates 31% at constant loss, every decision reason-coded for the FCA.
PythonLightGBMSHAPAWS SageMaker
Country · UK
22%
Retail
Demand forecasting for a grocery retailer
Cut waste 22% across 900 stores with SKU-level probabilistic forecasts.
PythonPyTorchDatabricksDelta Lake
Country · FR
58%
Government & Public
Complaints triage and root-cause tagging for a government department
Auto-classified 58% of citizen complaints to root cause, feeding the department's reporting directly.
PythonspaCyTransformersPostgreSQL
Country · UK
12x
Wealth Management
Adverse-media screening for a private bank
Screened 12x more names at a lower false-positive rate, each hit evidenced.
PythonTransformersElasticsearchAzure
Country · CH
47%
Insurance
Motor damage assessment from photos for an insurer
Settled 47% of motor claims from images alone, with fraud flags surfaced inline.
PythonPyTorchDetectron2AWS
Country · UK
94%
Logistics
Shipping-document extraction for a logistics operator
Achieved 94% straight-through extraction on bills of lading and customs paperwork for a logistics operator.
PythonLayoutLMTesseractAzure
Country · UK
9 weeks
Pharma
AI governance and model-risk framework for a pharma company
Stood up a board-ready AI governance and model-risk framework for a pharma company in 9 weeks, cleared at first internal audit.
GovernanceModel riskGxPEU AI Act
Country · CH
£14M
Insurance
GenAI opportunity assessment for an insurance group
Mapped a £14M annual benefit pipeline across 40 use cases, sequenced by risk.
StrategyValue modellingRisk assessment
Country · DE
Who we are
About usBritonOne Technology is a full-cycle engineering company that builds and operates production software for regulated estates. Since 2017, we have shipped programmes that clear audit on the first pass across banking, insurance, wealth, healthcare, and biotech. Our teams pair deep domain knowledge with disciplined engineering, treating compliance, security, and resilience as first-class deliverables. From architecture through to live operations, we stay accountable for the systems we build, measuring success by uptime, audit outcomes, and defensible business results.
60+Senior engineers across UK and EU
Why choose us
Engineer experience, average9+ yrs
Specialist replacement window48h
Code and IP ownership, day one100%
Surprise invoicesZero
Why teams choose BritonOne Technology
Four reasons enterprise buyers come back
We don't compete on lowest day-rate. We compete on shipped outcomes inside environments that have to clear audit.
Senior-only delivery
Every engineer on every engagement is at least senior, typically eight to fifteen years deep in their craft. No bench rotations, no junior pyramid hidden behind a glossy proposal, no bait-and-switch after contract signature. The architect who scoped your engagement is the same person committing code by week three.
Audit-ready by default
FCA, PRA, EBA, BaFin, FINMA, HIPAA, SOC 2 Type II: every framework we work under is treated as a design constraint from day one, not a final-stage gate. Evidence trails, model-risk packs, change-control artefacts, and pen-test reports ship alongside the code, ready for second-line review without a remediation sprint.
Anti-drift delivery discipline
Small pods of three to seven engineers, each with a named delivery lead who owns scope, schedule, and outcomes from kickoff to hand-off, never a faceless team you have to chase for an answer. Weekly demos run against the signed scope, frequent verification gates catch regressions early, and quarterly outcome reviews measure real progress against the original business case rather than a moving target. Together those rituals catch scope drift before it has any chance to compound, so programmes that should take six months don't quietly stretch into eighteen, budgets stay anchored to what was agreed, and every milestone ships with a written, testable definition of done that both sides sign off before we move on.
Long-tail support beyond hand-off
We don't disappear the moment the engagement closes. Managed services, hypercare windows, named on-call rotations, or quarterly health checks: pick the depth that matches your operational risk profile. About seventy percent of clients return for a second programme, usually because the team that shipped the first one is still on the other end of the page.
Client Satisfaction Reviews
Words from the teams we have shipped with.
Anonymous under MNDA. Each quote is from a senior buyer who owned the engagement end to end across the services catalogue.
One Team Replacing Two Vendors
“BritonOne Technology replaced two of our incumbent vendors with one team. Faster sprints, fewer status meetings, more code shipped per week.”
VP EngineeringTier-1 European retail bank
Common pre-engagement questions
Things buyers ask before picking the first service
