GENERATIVE AI & LARGE LANGUAGE MODELS

Enterprise AI that works in production. Not in PowerPoint.

Enterprise AI that understands your business.

We build production LLM systems — not chatbot demos. RAG pipelines, AI agents, document intelligence, and decision-support tools that work in your environment at enterprise scale.

Trusted by enterprises across F&B, Manufacturing, Logistics, and Legal.

Trusted by enterprises across F&B, Manufacturing, Logistics, and Legal.

Trusted by enterprises across F&B, Manufacturing, Logistics, and Legal.

WHAT DOES SEVEN BILLION DO?

More than you'd expect. And it all ships.

We do not sell tools. We do not hand over decks. We design, build, and deploy working AI and analytics solutions — from strategy to production, with your team, on your data.

Turn Data Into Decisions

We take your messy, siloed, unstructured data and transform it into clear, actionable intelligence your leadership can act on today.

Ship AI — Not Just Pilots

85% of AI projects fail to scale. Ours do not. We build for production from day one — not for demos that die in a slide deck.

Drive Outcomes, Not Outputs

We do not hand over reports. We deliver working solutions with agreed success KPIs, measured from day one.

WHAT DOES SEVEN BILLION DO?

More than you'd expect. And it all ships.

We do not sell tools. We do not hand over decks. We design, build, and deploy working AI and analytics solutions — from strategy to production, with your team, on your data.

Turn Data Into Decisions

We take your messy, siloed, unstructured data and transform it into clear, actionable intelligence your leadership can act on today.

Ship AI — Not Just Pilots

85% of AI projects fail to scale. Ours do not. We build for production from day one — not for demos that die in a slide deck.

Drive Outcomes, Not Outputs

We do not hand over reports. We deliver working solutions with agreed success KPIs, measured from day one.

WHAT DOES SEVEN BILLION DO?

More than you'd expect. And it all ships.

We do not sell tools. We do not hand over decks. We design, build, and deploy working AI and analytics solutions — from strategy to production, with your team, on your data.

Turn Data Into Decisions

We take your messy, siloed, unstructured data and transform it into clear, actionable intelligence your leadership can act on today.

Ship AI — Not Just Pilots

85% of AI projects fail to scale. Ours do not. We build for production from day one — not for demos that die in a slide deck.

Drive Outcomes, Not Outputs

We do not hand over reports. We deliver working solutions with agreed success KPIs, measured from day one.

LLM AGENTS & INTELLIGENT AUTOMATION

Autonomous AI agents that handle complex, multi-step decisions.

Autonomous AI agents that handle complex, multi-step decisions.

Most chatbots answer questions. Our agents take actions. We build multi-agent systems where specialised LLM nodes — a researcher, a reasoner, a validator, an executor — collaborate inside a directed acyclic graph of tasks, with tool-use, memory, and rollback logic built in. Pricing decisions, procurement workflows, triage routing, legal research, compliance checks — all handled end-to-end by AI that knows when to escalate to a human and when to act autonomously.

We use agentic frameworks including LangGraph, CrewAI, and Semantic Kernel — and we instrument every agent with structured logging so you can audit every step of every decision.

Book a demo

"Finding what you needed used to take hours. Now it takes seconds — and the AI assistant has fundamentally changed how our team approaches every case."

"Finding what you needed used to take hours. Now it takes seconds — and the AI assistant has fundamentally changed how our team approaches every case."

Category Manager

Cosmetic D2C Brand India

Hybrid vector + BM25 retrieval over your internal corpus. Semantic chunking, cross-encoder re-ranking, and citation-grounded outputs. We build retrieval pipelines that surface the right information

Directed acyclic task graphs where specialised agents: planner, researcher, critic, executor. Collaborate with shared memory, tool-use, and structured handoffs. Built on LangGraph and CrewAI.

When a frontier model is not precise enough for your domain, we fine-tune using LoRA/QLoRA on your proprietary data. Legal clauses, FMCG demand language, clinical terminology, domain-

Agents that don’t just answer, they act. API calls, database writes, ERP record updates, email drafts, dashboard refreshes. Every tool call is logged, validated, and reversible.

Every Seven Billion system includes AI governance, auditability, full traceability, and production-MLOps — so you can explain every output, audit every decision, and sleep at night.

Every Seven Billion system includes AI governance, auditability, full traceability, and production-MLOps — so you can explain every output, audit every decision, and sleep at night.

WHAT AI LOOKS LIKE AT SEVEN BILLION

AI for decisions, not demonstrations.

Here is what our AI systems actually do in production environments today.

WHAT AI LOOKS LIKE AT SEVEN BILLION

AI for decisions, not demonstrations.

Here is what our AI systems actually do in production environments today.

WHAT AI LOOKS LIKE AT SEVEN BILLION

AI for decisions, not demonstrations.

Here is what our AI systems actually do in production environments today.

ENGAGEMENT MODEL — PHASE 0 TO 4

From first conversation to full deployment. No wasted budget. No surprises.

We built this model after watching too many AI projects die between pilot and production. Every phase has a clear deliverable and a clear decision point. You control how far you go.

PHASE 0

Phase 0 — AI Discovery | 2 weeks | Fixed fee or complimentary


We map your data, your decision flows, and identify the 3–5 use cases where AI creates the most measurable value.

You get a prioritised plan and a realistic deployment brief before any development begins.

Output: A clear brief. No obligation to proceed.

PHASE 2

Phase 2 — Prototype | 4–6 weeks

We connect to your real data — your ERP, your data warehouse, your proprietary sources.

A functional model or agent you can test against your actual business environment. This is where we find the edge cases, deliberately, before production.

Output: A working prototype. Performance benchmarks.

PHASE 4

Phase 4 — Full Deployment | Defined timeline

End-to-end implementation, team training, integration with your systems, and go-live. A dedicated team, clear milestones, and ongoing support after launch. We do not disappear at go-live.

Output: A live system. Monitoring in place. Your team trained and independent.

PHASE 1

Phase 1 — Concept Demo | 2–3 weeks

A working demo built around your specific use case — not a generic product walkthrough.

We use simulated or anonymised data to show you exactly what the system will do.

Output: A live demo you can interact with. A go / no-go decision.

PHASE 3

Phase 3 — Pilot | 4–8 weeks

Live in your production environment, limited scope. We measure performance against real business constraints, gather feedback from daily users, and refine the model. This is the phase most vendors skip. We do not.

Output: Validated production performance. A deployment decision with evidence.

Phase 0 is the lowest-risk way to begin. 

ENGAGEMENT MODEL — PHASE 0 TO 4

From AI Discovery to production deployment.

We built this model after watching too many AI projects die between pilot and production. Every phase has a clear deliverable and a clear decision point. You control how far you go.

PHASE 0

AI Discovery (2 Weeks)

Fixed fee or Complimentry

We map your data, your decision flows, and identify the 3–5 use cases where AI creates the most measurable value.

You get a prioritised plan and a realistic deployment brief before any development begins.

Output: A clear brief. No obligation to proceed.

PHASE 2

AI Prototype (4-6 Weeks)

We connect to your real data — your ERP, your data warehouse, your proprietary sources.

A functional model or agent you can test against your actual business environment. This is where we find the edge cases, deliberately, before production.

Output: A working prototype. Performance benchmarks.

PHASE 4

Full-Scale AI Deployment

End-to-end implementation, team training, integration with your systems, and go-live. A dedicated team, clear milestones, and ongoing support after launch. We do not disappear at go-live.

Output: A live system. Monitoring in place. Your team trained and independent.

PHASE 1

AI Concept Demo (2-3 Week)

A working demo built around your specific use case — not a generic product walkthrough.

We use simulated or anonymised data to show you exactly what the system will do.

Output: A live demo you can interact with. A go / no-go decision.

PHASE 3

AI Pilot

Live in your production environment, limited scope. We measure performance against real business constraints, gather feedback from daily users, and refine the model. This is the phase most vendors skip. We do not.

Output: Validated production performance. A deployment decision with evidence.

Phase 0 is the lowest-risk way to begin. 

ENGAGEMENT MODEL — PHASE 0 TO 4

From first conversation to full deployment. No wasted budget. No surprises.

We built this model after watching too many AI projects die between pilot and production. Every phase has a clear deliverable and a clear decision point. You control how far you go.

PHASE 0

Phase 0 — AI Discovery | 2 weeks | Fixed fee or complimentary


We map your data, your decision flows, and identify the 3–5 use cases where AI creates the most measurable value.

You get a prioritised plan and a realistic deployment brief before any development begins.

Output: A clear brief. No obligation to proceed.

PHASE 2

Phase 2 — Prototype | 4–6 weeks

We connect to your real data — your ERP, your data warehouse, your proprietary sources.

A functional model or agent you can test against your actual business environment. This is where we find the edge cases, deliberately, before production.

Output: A working prototype. Performance benchmarks.

PHASE 4

Phase 4 — Full Deployment | Defined timeline

End-to-end implementation, team training, integration with your systems, and go-live. A dedicated team, clear milestones, and ongoing support after launch. We do not disappear at go-live.

Output: A live system. Monitoring in place. Your team trained and independent.

PHASE 1

Phase 1 — Concept Demo | 2–3 weeks

A working demo built around your specific use case — not a generic product walkthrough.

We use simulated or anonymised data to show you exactly what the system will do.

Output: A live demo you can interact with. A go / no-go decision.

PHASE 3

Phase 3 — Pilot | 4–8 weeks

Live in your production environment, limited scope. We measure performance against real business constraints, gather feedback from daily users, and refine the model. This is the phase most vendors skip. We do not.

Output: Validated production performance. A deployment decision with evidence.

Phase 0 is the lowest-risk way to begin. 

FOUNDER POV

“Every client we have met has a dashboard problem. Too many dashboards, none of them driving action, and the people who built them have moved on. We stopped building dashboards in 2022. Every system we build now is designed around a decision — not a report.”

Abhijit Singh | Founder & CEO, Seven Billion Analytics


FOUNDER POV

“Every client we have met has a dashboard problem. Too many dashboards, none of them driving action, and the people who built them have moved on. We stopped building dashboards in 2022. Every system we build now is designed around a decision — not a report.”

Abhijit Singh | Founder & CEO, Seven Billion Analytics


FOUNDER POV

“Every client we have met has a dashboard problem. Too many dashboards, none of them driving action, and the people who built them have moved on. We stopped building dashboards in 2022. Every system we build now is designed around a decision — not a report.”

Abhijit Singh | Founder & CEO, Seven Billion Analytics


TECHNOLOGIES

The platforms and models behind our Solutions.

We take a flexible, model-agnostic and cloud-agnostic approach. The right mix of platforms, foundation models, and data infrastructure is selected based on each client’s environment, governance needs, and scale.

TECHNOLOGIES

The platforms and models behind our Solutions.

We take a flexible, model-agnostic and cloud-agnostic approach. The right mix of platforms, foundation models, and data infrastructure is selected based on each client’s environment, governance needs, and scale.

How a leading F&B enterprise unified its reporting and cut review cycles by 60% with Seven Billion

Read case study

60%

Reduction in monthly reporting effort across 15+ SKUs

Before working with Seven Billion, our data was scattered and difficult to rely on. Now every region, every SKU, and every distribution channel is visible in one place, and our leadership team has confidence.

Supply Chain Director

F&B Group

40%

Reduction in stockouts in first quarter post-deployment

How a leading F&B enterprise unified its reporting and cut review cycles by 60% with Seven Billion

Read case study

60%

Reduction in monthly reporting effort across 15+ SKUs

Before working with Seven Billion, our data was scattered and difficult to rely on. Now every region, every SKU, and every distribution channel is visible in one place, and our leadership team has confidence.

Supply Chain Director

F&B Group

40%

Reduction in stockouts in first quarter post-deployment

How a leading F&B enterprise unified its reporting and cut review cycles by 60% with Seven Billion

Read case study

60%

Reduction in monthly reporting effort across 15+ SKUs

Before working with Seven Billion, our data was scattered and difficult to rely on. Now every region, every SKU, and every distribution channel is visible in one place, and our leadership team has confidence.

Supply Chain Director

F&B Group

40%

Reduction in stockouts in first quarter post-deployment

TESTIMONIALS

What our clients say about Solutions that deliver.

Do not just take our word for it. Hear directly from the organizations we have helped improve through data, analytics, and practical implementation.

VP Operations

Leading E-Commerce Platform

"Seven Billion built us an AI agent that makes 250,000 SKU-level pricing and inventory decisions every single day. Our operations team went from managing spreadsheets to managing outcomes. The shift was immediate and measurable."

250k

Daily AI decisions

12%

Revenue uplift

Medical Director

Multi-Specialty Hospital Group

"We were sceptical about AI in a clinical setting. The Seven Billion team told us when our data was not ready — which no vendor had ever done before. What they built is something our physicians actually use. It has given back hours of their day."

3+

Hours saved per physician per day

18%

Reduction in stockouts

Chief Supply Chain Officer

FMCG Enterprise

"Their GenAI production planner transformed how we schedule our manufacturing lines. We are not just saving money — we are making better decisions faster. It paid back in the first quarter."

Rs. 4.2Cr

annual savings

18%

Reduction in changeover losses

TESTIMONIALS

What our clients say about Solutions that deliver.

Do not just take our word for it. Hear directly from the organizations we have helped improve through data, analytics, and practical implementation.

VP Operations

Leading E-Commerce Platform

"Seven Billion built us an AI agent that makes 250,000 SKU-level pricing and inventory decisions every single day. Our operations team went from managing spreadsheets to managing outcomes. The shift was immediate and measurable."

250k

Daily AI decisions

12%

Revenue uplift

Medical Director

Multi-Specialty Hospital Group

"We were sceptical about AI in a clinical setting. The Seven Billion team told us when our data was not ready — which no vendor had ever done before. What they built is something our physicians actually use. It has given back hours of their day."

3+

Hours saved per physician per day

18%

Reduction in stockouts

Chief Supply Chain Officer

FMCG Enterprise

"Their GenAI production planner transformed how we schedule our manufacturing lines. We are not just saving money — we are making better decisions faster. It paid back in the first quarter."

Rs. 4.2Cr

annual savings

18%

Reduction in changeover losses

TESTIMONIALS

What our clients say about Solutions that deliver.

Do not just take our word for it. Hear directly from the organizations we have helped improve through data, analytics, and practical implementation.

VP Operations

Leading E-Commerce Platform

"Seven Billion built us an AI agent that makes 250,000 SKU-level pricing and inventory decisions every single day. Our operations team went from managing spreadsheets to managing outcomes. The shift was immediate and measurable."

250k

Daily AI decisions

12%

Revenue uplift

Medical Director

Multi-Specialty Hospital Group

"We were sceptical about AI in a clinical setting. The Seven Billion team told us when our data was not ready — which no vendor had ever done before. What they built is something our physicians actually use. It has given back hours of their day."

3+

Hours saved per physician per day

18%

Reduction in stockouts

Chief Supply Chain Officer

FMCG Enterprise

"Their GenAI production planner transformed how we schedule our manufacturing lines. We are not just saving money — we are making better decisions faster. It paid back in the first quarter."

Rs. 4.2Cr

annual savings

18%

Reduction in changeover losses

FAQ

Straight answers to the questions that matter.

If it is not here, just ask.

Can't find your answer?

Book a call with the team 

Email us at hello@sevenbillion.co

How long does a typical engagement take?

Can your systems integrate with our existing infrastructure?

What does Phase 0 cost?

How do you measure ROI?

Do we need clean data before starting?

Will our internal team be involved?

How is our data kept secure?

What happens after deployment?

GOT QUESTIONS?

Questions we hear often.

If it is not here, just ask.

Can't find your answer?

Book a call with the team 

Email us at hello@sevenbillion.co

How long does a typical engagement take?

Can your systems integrate with our existing infrastructure?

What does Phase 0 cost?

How do you measure ROI?

Do we need clean data before starting?

Will our internal team be involved?

How is our data kept secure?

What happens after deployment?

GOT QUESTIONS?

Straight answers to the questions that matter.

If it is not here, just ask.

Can't find your answer?

Book a call with the team 

Email us at hello@sevenbillion.co

How long does a typical engagement take?

Can your systems integrate with our existing infrastructure?

What does Phase 0 cost?

How do you measure ROI?

Do we need clean data before starting?

Will our internal team be involved?

How is our data kept secure?

What happens after deployment?