AI and automation

Generative AI development for products and teams

Add AI features your users will actually use: smart search across documents, one click summaries, drafting assistants, translation and report generation, built into the software you already run.

What is generative AI development?

Generative AI development is building software features that create new text, images, code or data using large language and diffusion models. Common examples are document summarisation, question answering over company knowledge, writing assistants, product description generation, translation and automated report drafting.

What our generative ai development covers

GenAI features that write, summarise, translate and create inside your product or internal tools.

Retrieval augmented generation

Answers grounded in your knowledge base with citations, refreshed automatically.

Summarisation

Meetings, tickets, legal files and medical notes condensed into structured summaries.

Content generation

Product descriptions, emails, proposals and reports drafted in your brand voice.

Indian languages

Generation and translation across Hindi, Bengali and other Indian languages.

Fine tuning

Smaller models trained on your examples when cost, speed or privacy demands it.

Safety layers

PII masking, content filters and output validation before anything reaches users.

How we approach generative ai development

The value of generative AI is in the workflow around the model: what data it sees, how its output is checked and where it appears for the user. We design that whole loop.

We compare models on your own examples for quality, speed and cost before choosing, and design the feature so the model can be swapped later.

Every project starts with a short discovery call and ends with software you own: source code, data, cloud accounts and documentation are handed over in your name.

Modules and features

  • Model selection
  • Vector search
  • Prompt library
  • Evaluation suite
  • Feedback loop
  • Token budgets
  • Caching
  • Streaming UI

Built for

  • SaaS product teams
  • Publishers and media
  • Legal and compliance
  • Education companies
  • Marketing teams
  • Enterprises

Technology we use

  • OpenAI
  • Claude
  • Gemini
  • Llama
  • Mistral
  • pgvector
  • Pinecone
  • Next.js

From first call to launch

The same five stages for every build, with a working demo at the end of each sprint so you see progress, not promises.

  1. Discovery

    We map your process, users and data, agree the first release and give you a fixed price for it.

  2. Design

    Clickable prototypes of the key screens, reviewed with the people who will use them every day.

  3. Build in sprints

    Two week sprints with a demo each time. You can change priorities between sprints.

  4. Test and launch

    Functional, security and load testing, data migration, training and a planned go live.

  5. Support and grow

    Monitoring, fixes and new features on a monthly plan, or a clean handover to your team.

Questions about generative ai development

Should we use an API model or our own model?

API models are fastest to launch and usually the most capable. Self hosted open models make sense for strict privacy, very high volume or offline needs. We test both on your data before recommending one.

How do you reduce hallucinations?

Grounding answers in retrieved sources, requiring citations, validating structured output and measuring accuracy on a fixed test set before and after every change.

Can you add GenAI to our existing software?

Yes. Most projects add AI features to an existing product through an API layer without rebuilding the application.

Do you work only in Kolkata?

Our engineering team is based in New Town, Kolkata, and we work with clients across West Bengal, the rest of India and overseas. Most projects run remotely with weekly demos, and we meet in person when it helps.

Get a free scope for your generative ai development project

Share three details. A senior engineer from our Kolkata team will call you, understand the problem and send a written scope with timeline and cost. No obligation, no spam.

  • A short call with an engineer, not a salesperson
  • A written scope: modules, technology, timeline and fixed cost for phase one
  • Honest advice, including when an existing product fits better than custom code

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