MAZi AI · Applied intelligence, founded 2026

Predictive intelligence, grounded in expertise.

MAZi fuses AI with veteran domain expertise to produce accurate, knowledge-based predictive intelligence — informed decisions in the quickest time, at optimal cost, with a fraction of the manpower.

For a century, advisory scaled by adding people.

MAZi scales by adding intelligence — the first advisory platform where machines do the reading and professionals do the deciding.

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AI Strategy  ✳  GenAI Solutions  ✳  Public-Sector AI  ✳  Data Engineering  ✳  Responsible AI  ✳  AI Enablement  ✳   AI Strategy  ✳  GenAI Solutions  ✳  Public-Sector AI  ✳  Data Engineering  ✳  Responsible AI  ✳  AI Enablement  ✳  
Days, not weeks

Decision cycles that took 6–12 weeks compress into days — inside the window that matters.

A fraction of the cost

Delivered at a fraction of an advisory-led engagement — pay for the decision, not the bench.

Lean teams, full coverage

Specialist AI agents do the parallel workstreams; your experts spend their time on judgement.

How it works

AI does the work. Experts make the call.

Our engine encodes the knowledge of industry and government veterans, then runs it at machine scale — with human checkpoints at every gate.

The AI engine

Specialist agents, working in parallel

Financial analysis — models, unit economics, sensitivities
Market intelligence — sizing, competitors, pricing power
Technical assessment — stack, IP, scalability, tech debt
Legal & compliance — red flags across every contract

Every finding cited to its source — document, page, and clause.

×
Predictive intelligence
The domain experts

Veterans at every checkpoint

Industry veterans scope the questions that matter
Government veterans test compliance and accountability
Human review gates before every synthesis step
Your professionals make the final decision

The system informs judgement — it never replaces it.

The systems

Two engines, one evidence trail — from decision to delivery, with every figure traceable to source.

Engine 01 · Decide

VERDICT — the diligence engine

Ingests the full document universe and runs every workstream in parallel — producing a grounded, source-cited decision pack in days, with the bear case built in.

VERDICT · Diligence dashboard Day 4 · on track
Workstreams
Financial92%
Commercial78%
Technical85%
Legal64%
◉ Expert checkpoint — Gate 3 awaiting partner review
Risk register
Offtaker credit concentrationHIGH
Change-of-control clauseHIGH
Tech debt in core platformMED
Land title gap — Site 3MED
Every finding cited to document, page & clause
ASCEND · 100-day plan Day 22 of 100
InitiativeOwnerDay 1 — 100
Synergy capture — procurementOps lead
Contract renegotiationLegal
KPI dashboard & board cadenceCFO
Key-team retention planCHRO
12 initiatives on track 2 need attention Board pack auto-drafted
Engine 02 · Deliver

ASCEND — the strategy engine

Converts the evidence into a 100-day plan — sequenced initiatives, accountable owners, KPIs, and a governance cadence your board can track.

Impact you can take to the board.

For consulting firms, corporates, and startups — four headline movements that compound across the portfolio.

−30–50%
Cost per pursuit

Automation of search, data sheets, drafting, and resourcing.

+25–40%
Pursuit capacity

Freed senior hours redeployed to more bids — same bench.

+10–20%
Win rate (relative)

Better bid selection via P(win) discipline and criteria-targeted quality.

+40–80%
Revenue per BD rupee

The compound of the three movements — modelled.

Indicative modelled ranges — converted into your numbers through a contained 4–6 week pilot on live work, baselines measured before and after.

Case studies

From the MAZi AI programme — tenders and transactions assessed, with the accuracy, time saved, and projected impact measured against real baselines.

Consulting · MAZi Procura

Advisory bid lifecycle, end to end

Ten-stage pilot across a Big-4-scale bid pipeline: automated discovery, source-cited bid data sheets, and first-cut drafts before the team touched a document.

Bid data sheet2–4 days → <1 hour
Source coverage~100%, 5–15 days earlier
First-draft effort−50–70%
Government / PSU tenders

Tender assessment & win prediction

Public-sector tenders assessed clause by clause — every risk category flagged, pre-bid queries drafted from information strength, and win probability modelled before major spend.

Query-pack prep1–2 days → 2–3 hours
Risk-clause coverage100% of flagged classes
P(win) before spend±8 confidence band
Investors & corporates · MAZi Capital

Transaction diligence to 100-day plan

Full document universe ingested and run in parallel workstreams — a grounded, source-cited decision pack in days, converted straight into a tracked 100-day plan.

Decision packWeeks → Day 4
Evidence trailCited to page & clause
Board packAuto-drafted
01

Strategy before software

We start with the decision you're trying to improve — not the model you've heard about. Every engagement is anchored to a measurable institutional outcome.

02

Built for high-stakes settings

Government and regulated enterprise are where our partners spent their careers. We design for auditability, security, and accountability from day one.

03

Veterans, not vendors

Our specialist partners are industry and government veterans who have run the systems we now make intelligent. Advice grounded in operating reality.

What we do

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Led by people who've done it.

Pradeep Panwar
Co-founder & Managing Partner · PPP Expert
Sanjay Maloo
Co-founder & Senior Partner / Finance
Chandan Mishra
Senior Partner · Leads MAZi
Manish Sonkar
Technology Head / Senior Partner
Specialist Partners
Industry & government veterans

Bring intelligence to the work that matters.

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