Proof · in production today
Real enterprises. Real production.
⦃param⦄ ai/Studio isn't a demo. It runs governed agents in production across manufacturing, automotive, retail and financial services — modernizing code, reading documents, answering data and handling calls. Here's the caliber of work, drawn from real deployments.
every application · one governed platform
real apps, in production
⦃param⦄ ai/Studio · applications in productionone governed platform
In production at
Bosch
·
UltraTech
·
Maruti Suzuki
·
Taneira
·
Nykaa
& other enterprises
01 · the work
Six transformations, running in production.
Each is a real deployment, abstracted. Watch the input become the outcome — that's a Mind on ai/Studio doing the work, governed end to end.
DocFlo · document intelligence
global manufacturer
Invoices in. Structured, validated data into your ERP.
Every document is read, validated and verified deterministically — a language model only where judgment is needed — so accuracy holds at ~99% and data flows straight into downstream systems.
~99% accuracy · a model only where needed
CodeFlo · modernization
global automaker
Apache Struts to Spring Boot — in days, not quarters.
A legacy Java estate moves through a governed pipeline — Code Analysis → Migration → Refinement — each module a reviewable checkpoint with L2/L3 agents, not a big-bang rewrite.
migrated in days · fully audit-tracked
Custom Mind · knowledge & analytics
building-materials major
Spreadsheets and documents become live dashboards.
Knowledge-graph agents over a large estate — plus an HR appraisal assistant for ~20,000 employees — turning raw inputs into grounded, governed outputs.
~20,000 employees · governed & grounded
Custom Mind · CRM CoPilot
Silicon Valley startup
Every customer signal, read and acted on.
A CRM CoPilot on ⦃ai/Studio⦄ Minds: email, Slack and meeting pipelines feed sentiment, prediction and alerts — a real-time assist for sales executives.
email · Slack · meetings → sentiment, prediction, alerts
DataFlo · natural-language BI
across many enterprises
Ask in plain language. Get a trustworthy answer.
Enterprises use ⦃ai/Studio⦄ for Text-to-SQL and Text-to-BigQuery — a question becomes schema-validated SQL and a governed result, so analytics is self-service without going off the rails.
Text-to-SQL · Text-to-BigQuery · schema-validated
VoiceFlo · governed voice
automotive OEM
Warranty calls in conversation — every turn on the record.
Natural conversation, but every turn is traced and on-script; anything outside its authority escalates to a human rather than guessing.
traced · on-script · escalates, never guesses
02 · credible at the architecture level
Proof isn't only customers. It's defensible invention.
The reason these deployments hold up in production traces back to how the platform is built. Three patents are filed around the core ideas that make governed, low-cost agents possible.
Zero-LLM retrieval
The Knowledge Engine assembles an answer by graph traversal, semantic and exact match — with no model in the retrieval path. That's what makes retrieval deterministic, auditable and cheap.
A compiled governance model
An agent's plan is compiled and locked, so its guarantees — traceable, reproducible, cost-bounded — are properties of how it runs, not settings layered on top.
Minimizing the model
Work that's mechanical runs as generated, deterministic code; a language model is called only where judgment is genuinely required — which is where the cost and accuracy gains come from.
Three patents filed · ISO 27001 certified · SOC 2 Type I in progress
03 · recognized
Backed by the people who judge this for a living.
Selected and awarded by leading innovation programmes and industry bodies.
Meta / Nasscom Open Challenge
Maruti Suzuki Innovation Programme
NSRCEL · IIM Bangalore · Demo Day
Nasscom Emerge 50
questions buyers ask
About these results.
Are these real customers and deployments?
Yes. Every case study is drawn from a real production deployment. We generalize the names and specifics in public materials to respect our customers' confidentiality, and show the enterprise logos separately to stand behind the claim that the work is real.
Can we speak to a reference?
In most cases, yes. Once we understand your use case we can arrange a reference conversation with a customer in a comparable industry or with a comparable problem. Reach out and we'll set it up.
What kinds of results have customers seen?
Across deployments: document intelligence at around 99% accuracy, legacy code modernization measured in days rather than quarters, knowledge agents serving workforces of around 20,000, and governed voice and natural-language BI in live use. Results vary by use case; we're happy to talk specifics for yours.
What is the CRM CoPilot built on ai/Studio?
A Silicon Valley startup built a CRM CoPilot on ⦃param⦄ ai/Studio Minds: pipelines over email, Slack and meeting transcripts feed sentiment analysis, prediction and alerts, giving sales executives a real-time assist — a custom Mind for a use case unique to them.
Has the platform been recognized externally?
Yes — among them, Winner of the Meta / Nasscom Open Challenge 2025, a winner in the Maruti Suzuki innovation programme, selection for Nasscom Emerge 50, and a Demo Day at NSRCEL, IIM Bangalore.
see it on your own work
The next case study could be yours.
Bring the use case that matters most. We'll run a Mind on your data, and connect you with a reference who's already in production.