AI & Data
Generative AI for Real Work
We build generative AI features that draft, summarize and answer, with guardrails, grounding and review steps so people can rely on the output.
Overview
Generative AI Development
Generative AI development is about product behavior: what the system writes, summarizes or creates, and how you keep it accurate and on-brand. We design the experience first, then choose the model, the prompts and the retrieval or tooling that support it, with a clear path for users to edit, approve or reject output. Users stay in control of the final result. Nothing publishes without a person approving it, unless you decide otherwise. Review and editing steps are part of the design from day one.
Generated content can be wrong, off-tone or leak information, so we build safeguards: grounding in your own documents, output filters, usage limits and logs for review. We also test with realistic and adversarial inputs and report where the system struggles, so your team knows what it is releasing. Clear documentation of those limits travels with the handover.
Context
Problems we solve
- 01
Confident wrong answers
Generative models can state falsehoods fluently. We ground responses in your sources and show where answers came from.
- 02
Brand and tone control
Unconstrained output can drift from your voice. We use structured prompts, templates and review workflows.
- 03
Data exposure
Sending sensitive content to external services needs care. We choose deployment options and redaction to match your policies.
- 04
Unpredictable cost
Usage-based pricing can surprise teams. We add caching, limits and cost reporting from the start.
Capabilities
What we deliver
- 01
Content drafting tools
We build assistants that draft emails, descriptions, reports and replies, with human editing built in.
- 02
Summarization pipelines
We summarize long documents, calls and tickets into structured, reviewable outputs.
- 03
Grounded Q&A
We connect models to your knowledge base so answers cite the underlying documents.
- 04
Multimodal features
We add image, audio or document understanding where it fits the workflow.
- 05
Guardrails and filters
We implement input and output checks, topic limits and fallbacks for unsafe or low-confidence results.
- 06
Evaluation harnesses
We build repeatable test sets so prompt or model changes can be compared before release.
Where it fits
- Drafting product and marketing copy
- Summarizing support tickets and calls
- Q&A over policy documents
- Generating report narratives from data
- Assistive writing inside business apps
Technologies we use
- OpenAI API
- Anthropic Claude
- Google Gemini
- LangChain
- Pinecone
- pgvector
- Python
- Next.js
Approach
How we deliver
- 1
Discover
We learn your goals, users, constraints and existing systems before proposing anything.
- 2
Plan
Scope, priorities, architecture and milestones are agreed so everyone knows what ships when.
- 3
Design
User flows, interfaces and technical design are shaped and reviewed with you early.
- 4
Build
Work is delivered in short iterations with regular demos, so progress is always visible.
- 5
Test
Functional, integration and performance checks run throughout, not only at the end.
- 6
Launch & support
We deploy, monitor and keep improving the product after it goes live.
FAQs
Common questions
Have a question that is not covered here? Get in touch.
Is generative AI safe to use with customer data?
It can be, with the right setup. We help choose providers and deployment options that fit your privacy obligations, and we can redact or limit what is sent to a model.
How do you reduce hallucinations?
We ground answers in your documents, constrain what the model may answer, show sources and test against known questions. This reduces errors but cannot eliminate them, so review steps remain important.
What drives the cost of a generative AI feature?
Build cost depends on integration depth, how much content must be indexed and how much evaluation is needed. Running cost depends on usage volume and model choice, which we help you estimate and control.
Explore
Keep exploring
Let's build what's next
Tell us about your idea, product or legacy system. Send us a message and we will help you scope the right next step.