Enterprise AI
Every engagement reaches production.
Production AI for Fortune 500 clients across four industries. No demos.
Start a Conversation →Our Process
Assessment to production in 90 days
01
Assessment
Map data, infrastructure, and the problem worth solving
02
Architecture
Designed for your stack, not a whitepaper
03
Build
Models, pipelines, integrations
04
Deploy
Monitoring, guardrails, rollback plan
05
Measure
Accuracy, latency, cost, business impact
06
Scale
Expand across teams and geographies
Results
Production deployments. Measurable returns.
Financial Services
Global Bank
1M+ users on a multilingual AI platform
Manufacturing
Manufacturing Enterprise
90%+ accuracy on 10TB+ of documents
Media
Media Company
90% reduction in localization costs
Healthcare
Healthcare Provider
60% faster diagnosis, HIPAA-compliant
Capabilities
What we deploy
Technical Depth
Platforms & models
Industries
Four industries. Deep operational knowledge.
Financial Services
Manufacturing
Media & Entertainment
Healthcare
Case Studies
Proof in production
Financial Services
“AI governance framework board-approved within 6 weeks. Zero regulatory findings in subsequent audit.”
— Leading Indian Private Bank
Manufacturing
“60-80% of mill staff using AI platform daily within 90 days. Equipment lookup reduced from 30-60 minutes to under 1 minute.”
— JMC Paper Tech (MillMind deployment)
IT Services
“2,000+ engineers trained across 4 delivery centers in 8 weeks. 35% increase in AI-related project wins next quarter.”
— Major IT Services Company
FAQ
Frequently asked questions
Do you only advise, or do you actually build the AI?
We build and deploy. Every engagement is designed to reach production — models, pipelines, integrations, monitoring, and guardrails — not slide decks or proofs-of-concept that never ship.
How long does a typical engagement take to reach production?
Our process runs from assessment to production in about 90 days: assessment, architecture, build, deploy, measure, and scale. Timelines vary with data readiness and integration complexity, but shipping to production — not a demo — is the goal from day one.
Which industries and platforms do you work across?
We deploy production AI for Fortune 500 clients across financial services, manufacturing, media & entertainment, and healthcare, on AWS, Azure, GCP, and specialized stacks (Cerebras, Groq, NVIDIA), with GPT, Claude, Llama, and Mistral models.
What kinds of AI systems do you deploy?
RAG systems and knowledge retrieval, agentic workflows and orchestration, fine-tuned and custom LLMs, enterprise API integrations, multi-model architectures, and AI evaluation and observability.
How is AI Guru different from a typical consultancy?
We are a venture studio that ships production AI and operates 20 of our own products, so engagements draw on real deployment experience rather than theory. We will also tell you when AI is not the right fit before putting anything into production.
Bring your hardest AI problem.
We'll tell you if AI is the right fit — then put it in production.
Contact Us →