AI Apps · Agents · Automation

Custom AI for real business problems.

We build AI features inside your product. chatbots that handle real support. agents that automate the boring work.

Solving the bottleneck your team complains about every week — measured against KPIs we agree to before a line of code is written.

Book a free AI strategy call See what we build
Senior team only Built in weeks, not quarters Outcome-aligned scope
01 — Bottlenecks

The bottlenecks we solve.

If one of these sounds like your week, we should talk. If two of them do — you probably should have talked already.

Your team is buried in repetitive work — copy-pasting between tools, summarising the same things, answering the same questions.
we build
Agents that automate the repetitive work end-to-end.
→ 60–80% time saved on the repeat tasks
Customers wait too long for support — your team handles the same five questions on every shift.
we build
Chatbots with full context that answer instantly, 24/7.
→ ~62% fewer support tickets
Critical knowledge is buried in PDFs, Slack threads, Notion, emails. Nobody can find anything when they need it.
we build
A knowledge engine your team chats with like a colleague.
→ Answers in seconds, not hours
Decisions take days because data lives across five tools and only one person knows the SQL.
we build
An analytics layer that turns plain English into live answers.
→ From question to decision in under 60 seconds
Your product needs AI features to stay competitive — but your engineers are buried in roadmap commitments already.
we build
AI features built inside your product, ready to launch.
→ 8 weeks from kickoff to live feature
You see AI moving fast and don't know where to start without burning six months on a "strategy."
we build
A focused roadmap with the highest-leverage opportunity first.
→ Two-week discovery, then we build
02 — Solutions

Solutions we provide.

Four kinds of AI work, one team that builds all of them. We pick the right shape for your problem — instead of forcing the problem into the shape we sell.

AI features inside your product

Production-grade AI capabilities embedded into your existing app — not a separate tool your customers have to learn.

Examples
  • Smart search and summarisation
  • AI copilots and assistants
  • Auto-generated reports and recaps
  • Personalisation engines

Chatbots & customer assistants

Voice and chat assistants that pull live data from your systems and handle real customer requests — not generic FAQ bots.

Examples
  • Shopify / SaaS support assistants
  • Voice-first customer interfaces
  • Sales-qualification chatbots
  • Internal helpdesk assistants

Agents & internal automation

AI agents that take actions across your tools — sending emails, updating CRMs, processing files, running multi-step workflows on schedule.

Examples
  • Invoice / document processing
  • Lead enrichment & outbound
  • Content generation & posting
  • Multi-step research agents

Custom AI products

Full SaaS or internal applications built around AI from day one — designed, built, deployed, and supported end-to-end.

Examples
  • Vertical AI SaaS products
  • Internal AI platforms
  • RAG-based knowledge tools
  • Analytics / NL-to-SQL apps
03 — Process

How we work, in 4 steps.

No 12-week strategy decks. No "phase one of seven." We pick one bottleneck, build the thing, measure the result, then expand.

01

Discover

A two-week sprint to find the highest-leverage bottleneck and the metric that proves we moved it.

02

Design

Solution architecture, data flow, success metrics, scoped roadmap. You sign off before we touch code.

03

Build

Senior-team sprints. Weekly demos. Working software in two-week blocks — not slide decks and timelines.

04

Measure

Production monitoring, evals, A/B tests. We tune until the metric we promised actually moves.

04 — Outcomes

Results we've delivered.

Anonymised but real — measured against the KPIs we agreed to before kickoff.

0%
Drop in support tickets after deploying an AI assistant for an enterprise SaaS platform.
0wks
From kickoff to first live AI feature, with a senior-only delivery team.
0
Manual hours per invoice processed — full OCR + LLM pipeline running unattended.
3.4x
Average revenue lift across DTC and SaaS engagements after AI-driven personalisation.
05 — Tech stack

The tech we work with.

We pick tools that scale with you — not the ones we have a referral fee on.

OpenAI Anthropic Claude Llama Mistral LangChain LlamaIndex LangGraph DSPy Pinecone Weaviate pgvector AWS Bedrock GCP Vertex Modal MLflow LangSmith Python · TypeScript Next.js · FastAPI Postgres · Redis
06 — FAQ

Frequently asked questions.

If your question isn't here, just ask on the call — we'll give you a straight answer.

How do you decide what to build first?
We start with a two-week discovery sprint to find the highest-leverage bottleneck — usually the thing your team complains about every week. Before any code is written, we agree on the metric that proves we moved it. No 12-week strategy decks. No phase-one-of-seven roadmaps.
How long does an engagement typically take?
Most engagements run 8–16 weeks. The first measurable result usually lands within 4–6 weeks. Larger custom AI products extend longer, with weekly demos and incremental delivery throughout — so you see progress every two weeks, not a big-bang reveal at the end.
What does it cost?
Engagements typically range from $15K to $40K per month depending on scope and team size. We work fixed-scope sprints with measurable success criteria — no hourly billing, no surprise invoices. Larger custom-product builds are scoped separately.
Do we own what you build?
Yes — fully. All code, models, prompts, and infrastructure transfer to you. No lock-in, no licensing fees, no hostage data. We deploy to your cloud account whenever possible so your team has full control from day one.
How do you handle our data and security?
Mutual NDA before any sensitive data is shared. SOC 2, HIPAA, GDPR, and CCPA-aligned controls. Isolated environments, audit trails, and your own infrastructure or cloud account whenever possible. We can also work fully air-gapped on-prem if your security posture requires it.
Can you work with our existing team and stack?
Yes — we work alongside your engineers, not around them. We integrate with your existing stack (Postgres, Snowflake, AWS, GCP, whatever you run) and document everything thoroughly so your team can extend the work themselves once we hand it over.
What happens after the build is live?
You can choose either path. We offer ongoing support and maintenance plans for production systems — bug fixes, model retraining, scaling, and optimisation. Or we hand the system cleanly to your team with full documentation if you'd rather operate it yourself.
How are you different from a generic AI consultancy?
Senior team only — no juniors learning on your project. We're an integrated AI + product + data + growth studio, so the AI we build connects to the rest of your business by default, not as an afterthought. And we take a fixed-scope approach with measurable outcomes, so you're never paying for someone to "explore" on your dime.

Ready to ship something real?

# 30-minute discovery call. We sketch 3 AI use-cases, a data roadmap, and a straight-talk estimate — even if we don't end up working together.

Book a free call WhatsApp +91 70075 45790
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