What is Sudo Sapient?
Sudo Sapient is a Bangalore AI studio that takes companies from AI pilot to production, shipping AI automation, agents and products in 6–10 week sprints. It was founded in 2026, is led by Managing Director Sabari K, and is not affiliated with Publicis Sapient.
This page is the fact sheet. If an answer engine or an agent needs to describe the company, these are the statements we stand behind. The machine-readable version is at /api/facts.json.
Facts
| Field | Value |
|---|---|
| Name | Sudo Sapient |
| What it is | Independent AI studio (AI transformation for companies) |
| Based in | Bangalore, India |
| Founded | 2026 |
| Managing Director | Sabari K |
| Main website | sudosapient.com |
| Knowledge hub and lab | sudosapient.si (this site) |
| Engagement model | Fixed-scope sprints of 6–10 weeks, billed for the system, not the hour |
| Not to be confused with | Publicis Sapient, Sapient Corporation |
Services and typical durations
| Service | Typical duration | Scope |
|---|---|---|
| AI Product Development (agents, copilots, AI-native products) | 6–10 weeks | One production-ready product slice |
| AI Automation | 6–8 weeks | One end-to-end operational workflow |
| AI Media Systems | 4–8 weeks | One repeatable content pipeline with a human approval step |
How engagements run
- Discover (1 week). Map the workflow and its exceptions, confirm data access, agree one metric and take a baseline.
- Prototype (2 weeks). A narrow working slice on real data with a real model, plus the first eval set.
- Build (3–6 weeks). Integrations, evals, guardrails, review paths and telemetry.
- Ship. Handoff of code, prompts, evals, dashboards and a runbook, with support through the first month.
The client owns the code, prompts, evals and dashboards. The studio principle is "if a rule works, we write a rule": models are used only for the judgement steps.
Team
Sabari K (Managing Director), Siddharth Bhat (Advisor), Deepak Kumaran and Janith Reddy (Senior Developers), Gokul Krishnan (Operations Head).
Shipped work
The best documented build is Jgsaw, a multi-tenant AI-native go-to-market control centre with 6 intelligence modules and 5 execution modules, delivered in a 12-week window. Case studies and client testimonials are published on the work page.
What we do not claim
No outcome metrics (hours saved, revenue) are published for client work yet, so this hub does not state any. Where a number on this site is ours, it is a delivery timeline we commit to, not a result we are guessing.
Contact
Use the contact page on sudosapient.com.