Discovery 2w
AI · AUTOMATION · CLOUD · BUILT FAST
AI that works, live in weeks not quarters.
Discovery → pilot → full production. Founder-led engineering using OpenAI, Anthropic, and Google — hosted inside your own AWS, Azure, or GCP account.
Trusted, real-world tools
Built on proven AI tools.
- OpenAI
- Anthropic
- AWS
- Azure
- GCP
- Pinecone
- LangChain
- Vercel
- Cloudflare
- NVIDIA
Results from recent client engagements
-
73%
Fewer onboarding-analyst hours
-
12×
Faster medical-record processing
-
99.9%
System stays online
-
4 wk
Pilot to first measured result
Three ways to get AI running for real.
Discovery, pilot, production, operate. Each path starts the same way: a 20-min call to find the one workflow worth automating first.
Custom AI Workflows
Reads your docs, tested, monitored.
promptCut analyst hours on customer onboarding by 50%.
outcome73% reduction · 4-wk pilot
Keeping AI Running Safely
Live costs, safe sign-in, full logs.
promptRun our AI inside our own AWS account.
outcome99.9% uptime · own cloud
An AI Expert On Your Team
A senior engineer, embedded in your team.
promptEmbed in our team for 12 weeks, ship 2 features.
outcome2 features shipped · weekly demos
From kickoff to production in weeks, not quarters.
Founder-led engineering. No agency markup. No bait-and-switch. The engineer in the demo is the engineer on your project.
Discovery
2 weeksWe map where AI could help your business, pick the 3 ideas with the clearest payback, then write a build plan.
- Founder-led
- Direct access
- Multiple AIs tested
- Answer checks
- Scope & quote
Pilot
4–6 weeksWe build one idea start to finish, ready for real customers: tested, checked, watched live, with a human backup.
- Built for real use
- First test set
- Shows its sources
- Human backup
- Live pilot
Production
4–8 weeksWe 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
Operate
OngoingWe 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 pilots, measured outcomes.
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
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
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 (Net Promoter) than human-handled ones.
- Claude Sonnet 4
- Vercel AI SDK
- Redis
- Cloudflare Workers
Names and identifying details anonymized at client request.
- Founder-led delivery
- Runs in your own cloud
- Typical pilot: 4-6 weeks
- Direct line to the team building it
- Data stays inside your infrastructure
- Fixed-scope engagements
Founder-led. Built by engineers.
Primary 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 · enterprise software + AI research
Decades of strategic and technical leadership across enterprise software, AI research, and cloud transformation. Sets the technical direction for the firm and leads big projects with many teams involved.
Nisha Chandiwal
Co-founder
Operations and partnerships lead.
Operations · partnerships · finance
Builds the systems and relationships that let our delivery team focus on clients. Runs operations, partnerships, and finance — ensuring every engagement is well-resourced and on track.
What happens if the AI gets something wrong?
Every workflow includes a test that checks answers, shows which document each answer came from, and brings in a person when the AI isn’t sure.
Will my data be used to train models?
No. OpenAI, Anthropic, and Google all agree not to keep or train on your data. Self-hosting keeps it inside your own cloud account.
Who owns what you build for us?
You do. Everything we build for you — code, prompts, test sets, and trained models — is yours under our agreement.
What if the AI provider retires a model?
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 the short paid review within 2 weeks of signing. Pilots ship in 4–6 weeks.
What about security and compliance?
SOC 2 Type II (audit) underway, targets Q3 2026. GDPR (EU privacy law) ready. Runs in your AWS, Azure, or GCP account.
Do you offer ongoing support after launch?
Yes — monthly plans include model upgrades, re-running tests after every change, watching for AI mistakes, and a Slack channel with our engineers.
Launch your first AI workflow in four weeks.
Tell us the problem. We send back a one-page plan + a price within 48 hours.