AI & Data
Generative AI that ships inside your product.
Content, documents and images generated on-brand, reviewed where it matters, and costed per output.
Sound familiar?
- “Producing proposals, listings or product descriptions takes your team hours per item.”
- “You tried a generic AI writer and everything it produced sounded like everyone else.”
- “You want AI features in your product but don't know how to control quality or cost.”
If any of those land, this is the page for you. Here's how we approach it.
What you get
What generative ai actually changes.
On-brand by construction
Prompts, examples and style constraints derived from your existing material rather than generic defaults.
Grounded in your facts
Generation constrained by your actual data, which is what prevents confident invention.
Review before publish
Human approval steps wherever output is customer-facing or contractual.
Costs measured per output
You know what a generated proposal costs before you turn it on for the whole team.
Built into the workflow
Available inside the tool your team already uses, not in a separate tab they must remember.
Model-agnostic
Swap models as they improve or prices change, without rewriting the feature.
What's included
Everything in the engagement.
Content generation
Descriptions, listings, summaries and drafts at volume.
Document assembly
Proposals, reports and contracts from your templates and data.
Image generation
On-brand visuals with consistent style controls.
Code assistance
Internal tooling that speeds your own engineers up.
Brand voice control
Tone and terminology enforced through prompt design and examples.
Review workflow
Draft, review, approve — with an audit trail.
Batch processing
Generate for thousands of items without manual triggering.
Cost governance
Per-user and per-feature spend limits.
How we deliver
You'll know where it stands every week.
Discovery
1–2 weeksScope document, risk list and a fixed estimateDesign & architecture
2–3 weeksClickable prototype and system designBuild
6–16 weeksA working demo at the end of every sprintTest & harden
ContinuousAutomated test suite, UAT sign-off, security reviewLaunch
1 weekProduction deployment, monitoring and full handoverSupport
90 days includedSLA-backed fixes and a roadmap for what's nextTechnology
What we build it with.
- OpenAI
- Anthropic Claude
- Google Gemini
- Llama
- LangChain
- Python
- Next.js
- AWS
We choose on fit, hiring pool, total cost and how easily you could leave — not on what we most enjoy writing.
Industries
Where we've done this.
- Retail & E-commerceStock, storefront and marketplace in sync.
- MediaPublish, distribute and measure from one desk.
- Real EstateLead to site visit to booking, without a spreadsheet.
- EducationAdmissions to alumni, on one record.
- EntertainmentStreaming, ticketing and rights that scale on launch night.
- TravelGDS, payments and itineraries in one booking flow.
Engagement models
Pick the risk model that suits you.
Indicative starting points. We give a firm number after discovery — a fixed price quoted before we understand the scope is a number designed to be revised.
Fixed scope
₹8,00,000
starting from
A clear brief you want delivered to a firm budget
- Fixed price agreed after discovery
- Defined deliverables and milestones
- Change requests quoted separately
- 90 days post-launch support
Dedicated team
₹3,50,000 / month
starting from
Evolving requirements, or an in-house team that needs capacity
- Senior engineers embedded in your standups
- Scale the team up or down monthly
- You set the priorities each sprint
- Direct access — no account manager layer
Retainer
₹1,20,000 / month
starting from
Ongoing improvement, maintenance and support after launch
- Agreed monthly hours
- Guaranteed response times
- Monitoring, patching and dependency upgrades
- Quarterly roadmap review
It does if you use a generic tool with a generic prompt. We build the system around your existing material — real examples, your terminology, explicit style constraints — and evaluate the output against samples you've approved.
Ground generation in your actual data rather than the model's memory, require citations where accuracy matters, and keep a review step for anything customer-facing. A model asked to generate freely will confidently fill gaps.
You do. The major providers assign output rights to the customer. We'll flag anything in your specific use case that needs legal review — particularly around generated images and trademark.
Usually cents per generation, but it scales with volume and output length. We instrument spend per feature from the start and set limits, so it's a line item you control rather than a surprise.
Related services
Often needed alongside.
Start the conversation
Tell us what you need.
An engineer replies within 4 business hours — with questions, not a brochure.
NDA available before you share anything.