AI · AUTOMATION · CLOUD · BUILT FAST

AI that works, live in weeks not quarters.

Plan → build → launch. Built by the founders themselves, using OpenAI, Anthropic, and Google — runs inside your own AWS, Azure, or GCP account.

The tools we build with

Built with tools you trust.

  • OpenAI
  • Anthropic
  • Google
  • AWS
  • Azure
  • GCP
  • Pinecone
  • LangChain
  • Vercel
  • Cloudflare
  • NVIDIA

Results from real client projects

  • 73%

    Fewer hours onboarding customers

  • 12×

    Faster processing of medical records

  • 99.9%

    System stays online

  • 4 wk

    Trial run to a real result

Three ways to put AI to work for you.

Plan, build, launch, then keep it running. Every project starts the same way: a 20-min call to find the one job worth automating first.

Custom AI Automation

Reads your documents, tested, checked.

askCut analyst hours on customer onboarding by 50%.

result73% reduction · 4-wk trial

OpenAIAnthropicPineconeLangChain
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An AI Expert On Your Team

A senior engineer who joins your team.

askJoin our team for 12 weeks, build 2 features.

result2 features built · weekly demos

SlackGitHubNotionPagerDuty
Talk to us

From kickoff to launch in weeks, not quarters.

Built by our founders. No agency markup. No bait-and-switch. The engineer in the demo is the engineer on your project.

Plan 2 weeks

Plan

2 weeks

We map where AI could help your business. Then we pick the 3 ideas with the clearest payback and write a build plan.

  • Founder-led
  • Direct access
  • Multiple AIs tested
  • Answer checks
  • Scope & quote
Build 4–6 weeks

Build

4–6 weeks

We build one idea start to finish, ready for real customers. It is tested, checked, watched live, with a human backup.

  • Built for real use
  • First checks
  • Shows its sources
  • Human backup
  • Live trial
Launch 4–8 weeks

Launch

4–8 weeks

We plug into your systems: company sign-in, activity logs, your data rules, live costs, on-call support.

  • SOC 2 ready
  • Company sign-in
  • Cost dashboard
  • Audit logs
  • On-call support
Run Ongoing

Run

Ongoing

We update the AI, re-test after every change, watch for made-up answers, and review with you monthly.

  • Monthly review
  • Ongoing testing
  • Slack channel
  • 6-month switch covered
  • You own it

PROOF

Three trials, with real results.

Fintech · Mid-size firm

73%

Fewer onboarding-analyst hours.

Their compliance team read through 12,000 policy documents by hand. We built a system that searches all of them in seconds and shows the source behind every answer. Six weeks to build, four to roll out. Auditors signed it off.

  • Claude Sonnet 4
  • Pinecone
  • LangChain
  • AWS
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Healthcare · Clinic network

12×

Faster medical-record processing.

Reads patient notes automatically and pulls out key details. Patient data stays in their own cloud account. Started in cardiology, now scaling to four specialties.

  • GPT-4o
  • Azure OpenAI
  • Postgres + pgvector
  • HL7 FHIR
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Software · Support

42%

Tickets solved without a human.

AI handles the request using the company’s own docs and product database. When it’s unsure, a person decides. Tickets scored 18 points higher (a satisfaction score) than human-handled ones.

  • Claude Sonnet 4
  • Vercel AI SDK
  • Redis
  • Cloudflare Workers
Discuss a similar project

Names and identifying details anonymized at client request.

Run by founders. Built by engineers.

Your main contact

Aadhish Chandiwal

Co-founder

Hands-on engineer and client lead.

Engineering · client lead

Day-to-day point of contact for partners and prospects. Runs the engineering work on every active project. Reach out: admin@chandiwal.ai.

Dr. Ashish Chandiwal

Co-founder

Big-picture thinker with deep AI and cloud experience.

Decades · corporate software + AI research

Decades of leadership in corporate software, AI research, and moving systems to the cloud. Decides how we build our technology and leads big projects with many teams involved.

Nisha Chandiwal

Co-founder

Operations and partnerships lead.

Operations · partnerships · finance

Builds the systems and relationships so our delivery team can focus on clients. Runs operations, partnerships, and finance. Makes sure every project has what it needs and stays on track.

What happens if the AI gets something wrong?

Every process includes a check that reviews every answer. It shows which document the answer came from, and brings in a person when the AI isn’t sure.

Will my data be used to teach the AI?

No. OpenAI, Anthropic, and Google all agree not to keep or learn from your data. Running it in your own cloud keeps it fully inside your account.

Who owns what you build for us?

You do. The code, AI instructions, test checks, and any custom AI setups all belong to you. That’s part of our agreement.

What if the AI provider retires the AI?

Our standard contract covers the switch free for 6 months. We test several AI providers from day one, so you’re never stuck with just one.

How quickly can you start?

We start your paid planning phase within 2 weeks of signing. Trials ship in 4–6 weeks.

What about security and compliance?

SOC 2 Type II (a security audit) underway, targets Q3 2026. GDPR (the EU privacy law) ready. Runs in your AWS, Azure, or GCP account.

Do you offer ongoing support after launch?

Yes. Monthly plans include AI upgrades and re-checking results after every change. We also watch for mistakes and give you a Slack channel with our engineers.

Launch your first AI process in four weeks.

Tell us the problem. We send back a one-page plan + a price within 48 hours.

Planning review $5k Trial from $15k Ongoing monthly plan from $8k/mo