Clarynt_
Building the GrowthOS for Fragmented Trade
AI-native platform turning messy distribution data into micromarket-level growth actions
2x faster delivery - Fractional Cost
Persistent Intelligence - Always on
Executive Summary

Why Clarynt..the build..why now

35,000 hours of consulting. Now codifying the tribal knowledge.
We left the consulting floor after scaling a digital-first practice and built what we always needed but never had. AI-first, for India, Bharat, and beyond.
2x impact. Real markets. Real problems. Battle tested with clients.
The logic and change management works for distribution-first companies. We have seen this play out on repeat -- in urban extraction, rural expansion, and the hard middle between.
The most complete spatial intelligence stack ever built for Indian distribution.
Profiled to perfection: 30,000+ micromarkets, 5 lakh villages. Proprietary spatial intelligence built for Bharat. Agentic-ready.
We're open to the right room...ready to shape the future
We know the toolkit, we know the change management pain. We want to make transformations sticky and glamorous again.
Arc 01

Why distribution needed a persistent intelligence layer yesterday

The solve is already clear. The infrastructure just didn't exist.

01 — The Intelligence Gap

The best GTM work only lasts about six months. Not because the thinking is wrong -- because there's nowhere for it to live.

01
Data cleanup rebuilt every engagement.
30% of every project timeline spent re-solving the same problem. Schema detection, field mapping, geo-validation -- all manual, all one-time.
02
Territory design trapped in Excel.
Stale within months. No mechanism to refresh. No connection to the systems field teams use daily.
03
Outlet intelligence dies with the team.
Scoring models on someone's laptop. No persistence layer. No institutional memory of which outlets matter and why.
04
GTM refresh takes 3+ months to restage.
Multi-vendor dependencies for analytics, optimisers, visualisation. No shared infrastructure to accelerate the next cycle.

The firms that pair consulting depth with a persistent, AI-native technology layer will define the next decade of GTM work. We are building that layer.

01b — The Art of the Possible

Every function has its operating system. Distribution is getting one now.

CRM
Salesforce
Supply Chain
Kinaxis, o9
Marketing
Programmatic stack
HR
Darwinbox, Workday
Distribution / RTM
Being built now
Clarynt Unified Architecture
Arc 02

We're building the operating system for revenue orchestration. One brick at a time.

Not a point solution. A persistent intelligence layer with architectural breadth.

02a — The Shift

From transaction-level reporting to micromarket-level intelligence.

What you have today
ERP with transaction data at distributor level
SFA tracking salesperson visits and orders
DMS with secondary sales at retailer level
Syndicate data (Nielsen / Euromonitor) at city level
Excel-based planning at state and region level
Annual territory redesign by leadership instinct
What you actually need
Micromarket-level demand intelligence at PIN code
Spatial gap scoring -- reach, extraction, headroom
AI-driven network and territory design
Trade promo ROI at scheme x geography x channel
Channel shift detection (GT to QC to MT) by micromarket
Headless alerts to the systems your teams already use
G
Growth
C
Cost
P
Productivity
T
Transform
Micromarket Engine
Expansion · Precision
Location intelligence, catchment analysis, urban grey & whitespaces, right village expansion
Portfolio Oracle
Extraction
Right assortment push, NPD engine, PPA guardrail in clusters, portfolio gap identification
RGM Modules
Revenue Growth
Omnichannel management, market mix modelling, in-store excellence, retailer & influencer loyalty
TPx Brain
Omnichannel Spend
Trade spend optimizer, uplift-led allocation, uplift causality modelling
GTM & Network
Service Network
Cost-to-serve optimizer, digital twin, service network design
Field Co-Pilot
Digital Salesman
Next best action, ML-led MSL, sales & ASM cockpit, virtual salesman deployment
GTM & Network
Territory & Beat
Territory designer, beat optimization, route planning
GTM & Network
Transformation
Territory designer, digital twin, service network design
RGM Modules
Revenue Growth
Omnichannel management, market mix, in-store excellence
Field Co-Pilot
Digital Salesman
Virtual salesman deployment, ASM cockpit
02b — Foundational Drivers

Three infrastructure layers that make everything above possible.

01
Proprietary Reference Layer
The spatial intelligence grid
02
Canonical Ontology
One grammar for all distribution data
03
Agentic, Headless Intelligence
Persistent brain, not a dashboard
30,000+ micromarkets · 500,000 villages · 20,000+ PIN codes
The most comprehensive spatial intelligence grid for India's fragmented trade. PIN-code shapefiles, demographics, relative wealth index, nightlight, land cover, construction activity proxies, cross-industry POI data.
PIN-code shapefiles Demographics Wealth index Nightlight data Land cover Construction proxies POI intelligence Demand signals
→ Every engagement starts with a 2-week head start. The geographic intelligence already exists.
Proprietary Reference Layer
Distributor · Retailer · SKU · Territory · Micromarket
A single canonical object model that normalises ERP, SFA, and DMS from any source. AI-assisted schema detection, field mapping, and ETL generation. Self-healing -- gets richer with every engagement.
Schema detection Field mapping AI ETL generation Self-healing model ERP ingest SFA ingest DMS ingest
→ The data cleanup problem -- 30% of every engagement's timeline -- becomes a one-time setup that compounds.
Canonical Ontology
Named agents · Scheduled runs · Push to SFA, WhatsApp, flat files
Subscribable agents running on the client's data, surfacing findings on schedule. Not a dashboard -- a persistent brain that pushes intelligence to the systems field teams already use.
Named agents Scheduled runs SFA push WhatsApp alerts Flat file export API hooks
→ The leave-behind actually stays alive. The client gets a subscription asset, not a PDF.
Headless Intelligence
Arc 03

Hitting the ground running. Practical Execution meets startup speed.

We're not theorizing. We're shipping.

03a — Where We Are Deep

Micromarkets first. Omnichannel next. Then the full operating system.

01
Data Foundation & Ontology
Live
02
Micromarket Diagnostics
Live
03
GTM & Network Design
Live
04
Omnichannel Intelligence
Active Build
05
Trade Promo Design & Optimize
Active Build
06
Portfolio & RGM
Roadmap

Modules 1-3 are live and battle-tested across FMCG and building materials. Micromarket Diagnostics is the deepest wedge: reach scoring, extraction headroom, gap identification, expansion targeting, territory design at PIN-code level.

Omnichannel Intelligence is the next frontier -- connecting digital demand signals (GEO search, aggregator traffic, brand website visits) to physical distribution and AI-discoverable storefronts. Think of it as if every metro had its own sales CEO cross-channel -- channel silos shredded.

Trade Promo Management is in active build -- scheme-level ROI at geography x channel, uplift modelling, spend allocation. Once you know where to grow, the next question is how to spend efficiently.

03b — Preview

Dataverse- built on a self-learning ontology and best-in-class entity enrichment against a sector catalog.

Preview 01 — Data Onboarding
03c — Preview

Micromarket Diagnostics -- PIN-code level intelligence, running in minutes.

Preview 02 — Micromarket Diagnostics
04 — The Team

Built by people who've done the work. We're building what we always needed.

BD
Bibaswan Dutta
Founder
EYTata
NM
Naman Midha
Co-founder
EYEmami
ID
Ishan Dobriyal
Co-founder
EYPidiliteFlipkart
SS
Shubham Shewdikar
Tech lead
GeospocOla

We want an audience with you.

A 60-minute working session with your GTM practice leads. Live data. Live demos. A draft co-delivery model for the first joint engagement. We'll bring everything -- you bring the toughest client problem you're staring at.