LLM & agent applications
Assistants, copilots and workflow agents with retrieval, tool use, guardrails and human review paths.
Service
AI & Machine Learning
LLM applications, computer vision and predictive models — evaluated, not just demoed.
The short version
AI & Machine Learning, the way we do it
The demo is the easy part. We build AI features that survive contact with real users: grounded in your data, measured against an evaluation set, guarded against prompt injection, and cheap enough per request to keep running.
- Evaluation harness before production rollout
- RAG grounded in your own knowledge base
- Prompt-injection and data-leak hardening
- Cost and latency budgets per request
Talk it through
Get a straight answer in 30 minutes
Bring the problem, not a spec. A senior engineer will tell you what we would do, roughly what it costs, and whether you even need us.
Book the call- NDA signed before scoping
- Written proposal in 3 working days
- No obligation, no sales pressure
−62%Manual review effort removed
94%Eval-set accuracy at handover
<900msp95 response latency
Figures are medians across comparable AI & Machine Learning engagements delivered since 2019.
What we deliver
AI & Machine Learning, end to end
LLM applications, computer vision and predictive models — evaluated, not just demoed.
Computer vision
Detection, OCR, quality inspection and video analytics deployed to cloud or edge devices.
Predictive analytics
Forecasting, churn, pricing and recommendation models wired into the systems that act on them.
Data & MLOps
Pipelines, feature stores, versioned training, drift monitoring and safe model rollout.
Technology
The AI & Machine Learning stack we trust
Chosen because it fits the problem and your team can maintain it — not because it trended last month.
- Claude API
- OpenAI
- PyTorch
- TensorFlow
- LangChain
- pgvector
- Pinecone
- Hugging Face
- MLflow
- Ray
How it runs
From first call to live in production
-
Discover
We interview your stakeholders and users, audit what exists, and write down the problem in one page everyone signs off on.
- Stakeholder workshops
- Technical audit
- Success metrics defined
-
Architect
Solution architecture, threat model, delivery plan and a fixed-scope estimate — before anyone opens an editor.
- System design
- Threat modelling
- Sprint roadmap
-
Build
Two-week sprints, demo every Friday, a staging URL from week one. You see progress continuously, not at the end.
- Weekly demos
- Code review gates
- Preview environments
-
Harden
Automated tests, load testing and an internal penetration test on every build we ship. Security is a stage, not a hope.
- QA automation
- Pentest & fix
- Performance budgets
-
Launch
Phased rollout, monitoring dashboards, runbooks and a documented handover to whoever operates it next.
- Zero-downtime deploy
- Observability live
- Team handover
-
Evolve
Support SLAs, monthly reviews and a roadmap that responds to what real usage taught us after launch.
- SLA-backed support
- Usage analytics
- Quarterly roadmap
Proof
Where this work has landed
Vaultline
A regulated lending platform rebuilt from a five-year-old monolith into a modular, audit-ready system.
11d → 2dLoan origination time0SOC 2 material findings
Read case study
Meridian Care
A patient companion app for a hospital network of 40 clinics, built offline-first for low-connectivity regions.
−36%Appointment no-shows200kMonthly interactions
Read case study
Questions
AI & Machine Learning FAQs
Other services
No. We use enterprise API tiers with training disabled, or self-hosted models inside your own boundary when the data cannot leave.
Retrieval grounding with citations, constrained output schemas, refusal paths for out-of-scope questions, and an eval suite that runs in CI on every prompt change.
Not always. Many high-value features run on foundation models plus your documents. We tell you early if a custom model is genuinely justified.
AI & Machine Learning
Ready to talk about AI & Machine Learning?
Send a two-line brief. You will get a senior engineer on the call and a written proposal within three working days.
- Free 30-minute discovery call
- NDA signed before scoping
- You own all code and accounts