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Generative AI Development

Generative AI Development Services

We turn generative AI into dependable product features: assistants that know your business, agents that complete real work, and copilots inside the tools your team already uses.

  • Use-case and ROI mapping first
  • Your data stays private
  • Evaluated before it ships
5.0 on Clutch · 27 verified reviews (opens in a new tab)

Production-grade AI

Not a demo. A feature your business can rely on.

Most AI prototypes impress in a meeting and fail with real users. We design for accuracy, cost and safety from the start, and measure all three before launch.

  • Evaluation sets that measure answer quality before every release
  • Guardrails for accuracy, tone and sensitive data
  • Private deployments on your own cloud when needed
  • Usage and cost monitoring with clear dashboards

What we measure

  • 01AccuracyAnswers checked against a test set built from your data.
  • 02SafetyGuardrails for sensitive topics and personal data.
  • 03CostModel choice and caching tuned to your budget.
  • 04SpeedResponse times your users will not notice.

How we deliver AI

From idea to production AI

A staged path that proves value early and scales what works.

  1. Use-case discovery

    We map where AI saves time or earns revenue, and agree on how success is measured.

  2. Data readiness

    We review your content and data sources, access rules and privacy requirements.

  3. Fast feedback

    Proof of concept

    A working prototype on your real data, tested by your team.

  4. Evaluation

    Answer quality, safety and cost are measured against an agreed test set.

  5. Production rollout

    Secure integration with your apps, logins and workflows, plus monitoring.

  6. Improve & scale

    Feedback loops, new use cases and cost optimisation as usage grows.

AI stack

Proven tools for dependable AI

Models

  • GPT (OpenAI)
  • Claude (Anthropic)
  • Gemini (Google)
  • Llama (Meta)
  • Mistral

Frameworks

  • LangChain
  • LlamaIndex
  • Semantic Kernel
  • OpenAI Agents SDK

Vector search

  • pgvector
  • Pinecone
  • Weaviate
  • Azure AI Search

Cloud AI

  • Azure OpenAI
  • AWS Bedrock
  • Google Vertex AI

Data

  • Python
  • PostgreSQL
  • Data pipelines
  • Power BI

Quality & ops

  • Evaluation sets
  • Prompt versioning
  • Monitoring
  • Cost tracking

Client reviews

Teams that trust us with their product

Verified reviews from Clutch.

5.0 27 verified reviews

FAQ

Generative AI questions

Straight answers to what clients ask us most.

Need advice for your project?

Every product is different. Talk to a senior engineer about your tech stack, timeline and team, and get honest advice on your next step.

Talk to an Expert
What is generative AI development?

It is building software features on large language models, such as chat assistants, document search with answers, content generation and AI agents, and connecting them safely to your data and systems.

Which AI model should we use?

It depends on accuracy, privacy, speed and cost. We compare models such as GPT, Claude, Gemini and Llama on your real use case and recommend the best fit, sometimes a mix.

Is our data safe?

Yes. We use enterprise model providers and private cloud deployments where needed, restrict access by role, and never put sensitive data into prompts without controls.

How do you stop the AI from making things up?

We ground answers in your own content (RAG), show sources, add guardrails and test answer quality against an evaluation set before every release.

Can you add AI to our existing software?

Yes. Most of our AI work adds assistants, automation or copilots to existing web apps, mobile apps, CRMs and Microsoft Dynamics 365.

Free discovery call

Have an idea? Let's turn it into AI-powered software.

Book a free discovery call with our experts. Share your idea and we will help you shape the scope, timeline and budget, under NDA.

  • Free consultation
  • NDA before we talk
  • Transparent estimate