Verified client
“ExprtAI delivered a production AI system in weeks, not quarters.”
Sarah Chen
CTO · Nova
AI Solutions & Engineering
Most AI projects die between the demo and production. We build the unglamorous parts that keep them alive: evaluation, retrieval quality, guardrails, cost control and observability.
Eval-first
Every pipeline measured before launch
Weeks
To production, not quarters
Open + hosted
Models, no vendor lock-in
100%
Prompts, data and models owned by you
- Reply within one business day
- NDA on request
- Senior partner on every call
- 100% IP ownership
- No-obligation estimate
What we build
AI systems that survive contact with real users
RAG
Retrieval-augmented generation
Assistants grounded in your documents and data, with chunking, hybrid search and citations tuned against measured answer quality.
- Document ingestion
- Hybrid retrieval
- Citations and grounding
- Retrieval evaluation
Agents
AI agents and automation
Agents that take actions in your systems with tool use, approval steps and audit trails, so automation stays accountable.
- Tool and function calling
- Human-in-the-loop approvals
- Audit logging
- Failure handling
Quality
Evaluation and observability
Golden datasets, automated evals and tracing so you know when quality drops before your customers tell you.
- Golden test sets
- Automated eval runs
- Tracing and cost tracking
- Regression alerts
Models
Fine-tuning and model selection
Pick the smallest model that meets your quality bar, fine-tune when it pays and keep the option to switch providers.
- Model benchmarking
- Fine-tuning pipelines
- Prompt versioning
- Provider abstraction
Product
AI features inside your product
Copilots, summarisation, classification and search embedded in your existing SaaS or app without regressions on the platform.
- In-product copilots
- Summarisation and extraction
- Semantic search
- Streaming UX
Safety
Guardrails, privacy and cost control
PII handling, prompt-injection defences, rate limits and budgets so the system is safe to put in front of customers.
- PII redaction
- Injection defences
- Rate and budget limits
- Compliance documentation
How it works
Evaluate first, then build, then prove it
01
Use-case and data audit
Pick the use case with measurable value, assess the data and define what good looks like.
02
Prototype with evals
A working prototype and a golden test set in the first weeks, so decisions are made on numbers.
03
Productionise
Guardrails, observability, cost controls and integration into your product, demoed weekly.
04
Operate and improve
Monitor quality and cost in production and iterate on the eval results.
Tech stack
Tools we run in production
Proven, well-supported technology chosen for your requirements, never for novelty.
OpenAI
Python
TypeScript
Next.jsLangChain
pgvector
PostgreSQL
Supabase
Docker
AWSClient outcomes
What it is like to work with us
Feedback from founders, CTOs and product leads who shipped with ExprtAI.
Verified client
“From discovery to launch, they felt like an extension of our team.”
Marcus Webb
Founder · Helix Care
Verified client
“Beautiful UX, rock-solid backend, and clear communication.”
Elena Ruiz
VP Product · Orbit
As featured in
FAQ
Questions about ai solutions
Straight answers to what clients ask before an engagement starts. Anything else, we are happy to walk through on a call.
Ask us directlyLet's take your AI idea to production
Book a consultation and we will tell you honestly whether the use case is worth building and what it would take.