Decisioning AI
Infrastructure fordata-driven enterprises.

Trusted ecosystem intelligence for smarter decisions - built on decentralized clean rooms and agentic ML workflows.

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Unified intelligence within your cloud
Foundation

Your data

First-party identifiers, labels, and internal variables - the on-platform behavior you already know.

Enrichment

Ecosystem data

Off-platform behavior of your users - 800+ privacy-safe signals from large-scale enterprises.

Modelling

LattIQStudio

An all-purpose agentic ML workbench - build any production-grade models with a low no-code interface, hosted on your premise.

Custom models

Purpose-built intelligence

High-performance holistic models - built on unified intelligence (1P+2P), tailored to your use case and business nuances.

Decentralized

Air-gapped by design

Everything runs inside your environment - Privacy-first compliant architecture. No liability in handling raw ecosystem data.

SCROLL TO REVEAL THE ECOSYSTEM
Use Cases

Decisioning AI, powered by Ecosystem Intelligence.

360° User insights from across the ecosystem.
One decisioning layer.

500M+users 800+signals 25+partners

Identity &
Persona

Demographics, life stage, household profile, and consented identity resolution.

Income bandLife stageHousehold profileAffinity segment + many more

Transactions &
Commerce

Spends insights, merchant affinity, category share, and commerce engagement.

Category spendsMerchant affinitySpend velocityOrder recency + many more

Financial
Profile

Affluence, credit behavior, affordability, and wealth indicators.

Wealth indicatorsPayment ProductsAffordabilityInvestments/ Assets + many more

Device &
Apps

Device type, OS, app usage, platform engagement, and digital maturity.

Device typeApp categoriesPlatform engagementDigital maturity + many more

Telecom &
Calling

Call patterns, network tenure, recharge behaviour, and connectivity quality.

Network tenureSIM Vintage/ blacklistCalling patternsSpam / fraud flags + many more

Logistics &
Location

Order frequency, delivery preference, address intelligence, and location stability.

Order frequencyDelivery preferenceAddress intelligenceCOD preference + many more

Offline
Footprint

Store visit patterns, store affinity, purchase recency, and location stability.

Store visit frequencyLocation stabilityStore affinityPurchase recency + many more

Network
Graph

Cross-platform relationships, entity linkages, household graph, and network effects.

Entity linkageHousehold graphNetwork effectsMerchant-user link + many more

Business &
B2B

Business vintage, formal-income indicators, turnover bands, and registration flags.

Business vintageBusiness segmentTurnover bandTax-registered + many more
Explore all signals →
The platform

Built for high-stakes decisions

Accuracy, control, and privacy - engineered into the platform, not bolted on as an afterthought.

Accuracy and Performance

Accuracy that holds in production

State-of-the-art feature engineering and model development library; agentic workflows for feature space and parameter space clean sweep- for sustained performance at scale

Customizability and Control

Your data. Your cloud. Your model.

Run LattIQ on your own data, inside your own cloud - and walk away owning the model itself, weights and IP included.

Security and Privacy

Private by architecture

Your raw data is never exposed - our proprietary .lqenc format (AES-256-GCM envelope encryption) enables data sovereignty, with DPDP/ GDPR aligned governance and an immutable audit trail on every access.

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Why we exist
Download Manifesto →
01 The problem

You decide on a fraction of what you should.

  • Signals that predict your outcomes live outside your walls.

  • Sharing that data is blocked by privacy and trust.

  • So you decide half-blind and the sharpest intelligence stays locked away.

SIGNAL THAT PREDICTS OUTCOMES Commerce Fintech Telecom Delivery Utilities WHAT YOU CAN'T SEE THE GLASS CEILING WHAT YOU CAN SEE Your platform A FRACTION OF THE SIGNAL
02 The mission

Every decision fully informed by a picture no one sees.

  • Privacy and utility never collide, because every party stays in control of its own data.

  • Operate on intelligence, not data, bringing the query to the data and never the data to you.

  • Verify, don't trust to make collaborations a routine, not a negotiation.

03 The vision

A living network of organizations that make each other smarter.

  • One rulebook to govern E2E journey, from discovery to settlement, so collaborations become safe.

  • Cross organization data flows become living relationships to shape each other's decisions.

  • Every new node makes the network smarter, until the rulebook itself becomes the standard.

YOU SIGNAL YOU NEED

Any node reaches the signal it's missing - without raw data ever leaving its owner.

From the Knowledge Centre

Learn from the ecosystem

Discover more articles
Common questions

Everything you need to know

Signals sourced directly from the origin - payment networks, consumer utility apps, telecom, logistics, commerce, loyalty programs - where transactions and behaviour actually happen, rather than inferred from web visits alone. Abstracted at source, fused with privacy-safe methods.

Through consented partnerships with 25+ ecosystem partners - the enterprises and platforms that generate this data as part of their core operations. Every partnership is structured under DPDP and GDPR, with explicit, informed user consent, and raw records never move.

A broker sells you raw records; a marketplace lists datasets. LattIQ is a decisioning intelligence layer - signals are sourced for purpose-bound usage, fused across the ecosystem and delivered straight into your models. Raw data never changes hands.

Yes. Train on combined LattIQ signals + your labels and internal variables in a privacy-preserving clean room. You own the final model, and neither side sees the other's raw data.

Yes - DPDP- & GDPR-aligned by architecture. Signals are abstracted at source, consent is explicit and informed, and full lineage with an immutable audit trail is maintained. Certified to ISO 27001.

Explore how 800+ ecosystem signals can supercharge your ML models.

30 minutes. Your live use case. A back-test you can run in your stack. No commitment.

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