We plug large language models into your existing product so your users get drafting, summarising, extraction and search inside the screens they already work in, with the safety rails, logging and cost limits that keep it predictable month after month.
Generative AI Services We Offer
Features your users reach for daily, not a demo that impresses once.
Content & Copy Generation
Drafts written in your brand voice, at the volume a catalogue or a campaign actually needs, with a person approving before anything ships.
- Drafts in your own brand voice
- Bulk product and page copy
- Editor review before publishing
Summarisation & Extraction
Long documents turned into short briefs, and structured fields pulled out of free text your team used to rekey.
- Long documents into short briefs
- Structured data out of free text
- Meeting and call summaries
Email & Message Drafting
Reply drafts written from the actual context of the thread, waiting in the box for your team to send or edit.
- Reply drafts from real context
- Tone and length control
- Approval before anything sends
Prompt Engineering & Guardrails
Prompts written, versioned and tested like code, with validation on the way out so bad output never reaches a user.
- Prompt design and versioning
- Output validation and filters
- Refusal rules for risky requests
Model Selection & API Integration
We benchmark the models against your task, then build so you can switch provider without rewriting the feature.
- OpenAI, Claude and open source
- Fallback between providers
- Streaming responses in your UI
Cost, Caching & Rate Control
The part most teams discover too late. Token budgets and caching so an AI feature never surprises you on the invoice.
- Token budgets per feature
- Caching for repeated prompts
- Usage dashboards per team
Our Integration Process
Prove the output on your real data before anyone commits to a build.
Pick The Use Case
We shortlist the places where generation genuinely saves time, and drop the ones that only look impressive.
Prototype
A working version on your real content, so you can judge the output quality before committing to a build.
Integrate
The feature ships into your product with auth, logging, streaming and a human review step where it matters.
Measure & Tune
We track quality, cost and adoption, then tighten prompts and swap models as the landscape moves.
Models & Tools We Work With
Chosen per feature on quality, latency and what each thousand tokens costs you.
- OpenAI GPT
- Claude
- Llama
- Mistral
- LangChain
- Streaming APIs
- Python
- FastAPI
- Node.js
- Angular & React
- Redis Caching
- Usage Analytics
What You Get
The engineering around the model, which is what decides whether it survives contact with real users.
Inside The Screens You Use
The feature lives where the work already happens, instead of in a separate tool nobody remembers to open.
Output You Can Trust
Validation and filters on every response, so malformed or off topic output never reaches a customer.
A Human Still Approves
Anything customer facing waits for a person to approve it, which keeps the brand and the liability yours.
Predictable Cost
Budgets, caching and per feature usage reporting, so nobody discovers the bill at the end of the month.
Not Locked To One Model
A clean abstraction over the provider means switching model is a config change, not a rebuild.
Logged And Auditable
Every prompt and response is recorded, so you can explain later exactly what the system said and why.
Which part of your product should write itself?
Show us one screen where your users type the same thing over and over. We will come back with what generative AI could do there and what it would cost to run.
Get in touch
We are here to help you with your queries.