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Document intelligence
Ask thousands of documents a question and get an answer with its source — in English, Hindi or Marathi.
QdrantBM25BGE-M3
ExploreNowOffline document AI in English, हिन्दी & मराठी
AI systemsengineeredto run whereyour data lives.
AltoStudio designs, builds and runs document intelligence, agentic workflows and voice agents for government, healthcare and engineering teams — on the cloud, on your servers, or fully offline.
Forming / AltoStudio core
- Government & public sector
- Law enforcement
- Healthcare
- Engineering & EPC
- Legal
- Real estate
- Retail & e-commerce
Mostorganisationsdon'tneedanotherchatbot.Theyneedoneslow,expensiveprocessmadefast2 days→ hours—accurately,intheirownlanguagesENहिमoninfrastructuretheytrustThatiswhatwebuild.
Narrow first
One process, made reliably fast, before the next.
Working early
A prototype on your data in weeks, not a slide deck.
Yours to run
Your infrastructure, your keys, full documentation.
How it works
From scattered data to decisions you can sign off.
Scroll ↓
- 01Ingest
- 02Understand
- 03Act
- 04Deliver
01 / Ingest
Your scattered data
PDFs, circulars, emails, chat exports, CRM records and call recordings — in English, Hindi and Marathi, in whatever state they are in.
800+ documents in one index
What we build
Six systems.One standard of rigour.
Each one targets a specific, expensive piece of work. Most engagements start with one and grow into a second once the first is trusted.
02 / 06
Agentic workflows
Agents that read, decide and act across your CRM, inbox, spreadsheets and social channels.
n8nLangGraphCrewAI
Explore03 / 06
Proposal & engineering copilots
Systems that reason like your senior engineers and draft the documents they spend days on.
Agent chainsRAGRules engine
Explore04 / 06
Voice agents
Phone agents that book, screen and follow up — in the language your callers actually speak.
BolnaRinggVapi
Explore05 / 06
Private AI infrastructure
Models, vector databases and orchestration on your cloud, your servers, or with no internet at all.
QwenDockerCaddy
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Edge AI & connected devices
When the data starts in hardware, we build the path from sensor to decision.
Edge inferenceTelemetryTime-series
ExploreLive system
Watch a systemthink, in real time.
Three real patterns from our deployments, replayed. Pick one, or let them cycle.
- Question
- Typed in Marathi, English or Hindi — or arriving as a CRM lead or a social comment.
- Trace
- Every step is visible: what was searched, what was ranked, which rule applied.
- Outcome
- An answer with its sources, a draft for review, or a hand-off to a person.
AltoStudio runtime
Air-gappedQuestion
Trace
Your data stays insidethe line you draw.
The same system can run in three ways. Pick one and watch what moves inside your perimeter — and what, if anything, ever crosses it.
Your perimeterNo outbound connections
Your team
Application
Agents & workflows
Vector database
Open-weight model on your GPU
Outside
Hosted model API
Not usedNothing leaves the building
Open-weight models run on your own GPU. Retrieval, orchestration and the interface all run on premises, with no outbound connection at all.
- Leaves your network
- Nothing
- Hardware
- One GPU server, or CPU for smaller loads
- Good for
- Police, government, legal and medical records
Selected work
Systems built for workthat can't be wrong.
Client names are withheld. The systems, constraints and numbers are real.
- 01Engineering & EPCProposal engineering: two days down to hoursDelivered
- 02HealthcareAn AI care team for a cardiology practiceDelivered
- 03Law enforcementOffline answers from 800 documents, in three languagesDemonstrated
- 04Real estateBroker WhatsApp chatter, turned into a clean listings tableDelivered
- 05GovernmentA searchable memory of government resolutionsDemonstrated
Index
0+multilingual documents answerable from one offline index
Comments
0+patient comments triaged, answered or escalated by agents
Languages
0languages handled end to end: English, Hindi, Marathi
Agents
0specialist agents drafting a single engineering proposal
How a systemgets built
Step 1Week 1
Discovery & data audit
We sit with the people who do the work today, map every decision point, and check what data exists and how clean it is. You get a written scope that says what is feasible and what isn't.
Step 2Weeks 2–3
End-to-end prototype
A thin version of the whole system, running on your real data, early. It is the fastest way to find out where the hard part actually is.
Step 3Weeks 3–10
Build & integrate
We harden each stage, connect your CRM, inbox and internal tools, and add the review steps your team needs before anything goes out.
Step 4Before launch
Validate against history
We replay past cases through the system and compare its output with what your experts decided, so accuracy is a number rather than an impression.
Step 5Ongoing
Hand over & run
The system runs in your environment with documentation and runbooks. An optional retainer covers monitoring, improvements and new workflows.
What you canhold us to
Four commitments that shape every system we build, written into how we scope, test and hand over.
Your data stays where you decide
Cloud, your own VPS, or fully offline. We don't run a shared platform that holds client data.
AI prepares, people approve
Anything that leaves your organisation passes through a review step that your team controls.
Measured, not demoed
Before launch we test against your own past cases and report the numbers — including where the system falls short.
Built for Indian languages
English, Hindi and Marathi are first-class, from search and retrieval through to the replies people read.
Built on tools your team can own
Open source wherever it makes sense
- n8n
- LangGraph
- CrewAI
- Qdrant
- LangChain
- FastAPI
- Docker
- BGE-M3
- Qwen
- OpenAI
- MCP
- Vapi
- Bolna
- Twilio
- WhatsApp Cloud API
- Zoho CRM
- MySQL
- Firebase
- React
- Next.js
Agentic AI Training Program
We teach what we build
Our Agentic AI cohort is a hands-on programme for engineers and students who want to build production automations, not toy demos. The first 14-day cohort ran with 27 participants through to certification.
- days, live sessions
- 14
- days, live sessions
- participants certified
- 27
- participants certified
- n8n workflows
- Multi-agent systems
- RAG pipelines
- MCP integrations
- Voice agents
- Browser automation
Bring us thetwo-day process.
In one call we'll tell you whether AI can do it reliably, how we would test that, and what a first version would take. No slideware.