The data

foundation

your AI actually needs.

We clean up your data chaos and build systems your AI can actually trust. Fast, lean, and backed by engineers who know data inside out.

Datadives — AI-Readiness ScorecardFree · 3 min

Is your data actually ready for AI?

Ten plain-language questions about your pipelines, data quality, lineage, compliance, and AI practices. Answer honestly — you'll get a scored readout across the same five dimensions we assess in our full audit. No email needed to see your score.

10 questionsScore out of 100Instant results
Enterprise Data Visualization
Neural Network
Phase 01

Assess

We audit where your data is AI-ready and where it breaks.

Phase 02

Build

Clean, governed pipelines and platforms built to be trusted.

Phase 03

Activate

Real-time data, analytics, and AI/RAG systems that ship.

Phase 04

Scale

Outcomes you can measure, on infrastructure that grows with you.

10x
Faster Insights
100%
Data Utilization
Real
Business Impact
Our Services

Trusted data
foundations for AI.

We sell outcomes, not hours. Fixed-scope engagements and managed data teams — so AI makes your project faster and cheaper, not us slower.

Assessment

AI-Readiness Audit & Data Foundations

Find what's blocking your AI, then fix the foundation.

AuditPipelinesMetadata
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Trust Layer

Data Governance, Quality & Observability

Make your data trustworthy enough to power revenue and AI.

QualityLineageData Contracts
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Infrastructure

Cloud & Platform Modernization

Migrate off legacy into modern lakehouse and zero-ETL architectures.

MigrationLakehouseAWS/GCP
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Live Context

Real-Time & Streaming Data

Give your AI agents and dashboards live context, not stale snapshots.

KafkaStreamingEvent-driven
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Smart Data

AI & GenAI Data Engineering

RAG pipelines, context engineering, and data prep that make LLMs reliable.

RAGEmbeddingsEvals
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Self-Service

Analytics & Data Products

Semantic layers and data products your whole org can actually use.

Semantic LayerBIAPIs
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Technology

Cutting-edge
tech stack

We leverage the most advanced technologies to deliver solutions that scale with your business needs.

PythonCore
TensorFlowML
Apache SparkBig Data
PostgreSQLDatabase
AWSCloud
KubernetesDevOps
SnowflakeWarehouse
dbtTransform
AirflowOrchestration
KafkaStreaming
PyTorchML
GCPCloud
PythonCore
TensorFlowML
Apache SparkBig Data
PostgreSQLDatabase
AWSCloud
KubernetesDevOps
SnowflakeWarehouse
dbtTransform
AirflowOrchestration
KafkaStreaming
PyTorchML
GCPCloud
01

Data Engineering

Build robust pipelines that transform raw data into actionable insights at scale.

SparkAirflowdbtKafka
02

Machine Learning

Deploy production-ready ML models that drive real business outcomes.

TensorFlowPyTorchAWSGCP
03

Cloud Infrastructure

Modern, scalable infrastructure designed for global enterprise demands.

AWSGCPKubernetesTerraform
04

AI-Native Delivery

Our team runs on agentic AI workflows by default — so a lean team delivers what used to take a crowd, reviewed by senior engineers for production-grade quality.

LLM AgentsAutomationAI Review
Products as a Service

We're not another dashboard. We're the evidence rail underneath it.

Every platform promises insights. Almost none can defend the number when the assessor, auditor, or regulator asks where it came from. Our four rails run on one chassis: AI proposes the mappings once, a human confirms, deterministic code executes forever — and every figure carries its evidence. Fixed fee, fixed scope, running in production.

Pravah

प्रवाह · flow

The RBI compliance & reconciliation rail

Shipping — first modules live
  • Co-lending reconciliation: bank and NBFC books matched transaction-level, breaks surfaced before the regulator finds them
  • Element-based regulatory returns (CIMS, DNBS-02): source-to-return lineage, so every submitted figure traces to the ledger
  • GSTR-2B reconciliation module for CA firms — the same rail, pointed at tax

Built for

NBFCs in co-lending partnerships · banks facing element-based reporting · CA firms serving both

Sammati

सम्मति · consent

The DPDP & ABDM health-data rail

Shipping on the ABDM rail
  • Consent enforced in the pipeline, not promised in a policy: purpose limitation, consent artefacts, and verifiable erasure as code
  • ABDM/FHIR R4 compliance for HMIS and LIMS vendors — certified in 90 days
  • DPDP-ready record systems for hospitals and diagnostic chains, with evidence trails for every access

Built for

HMIS/LIMS vendors · diagnostic chains · hospitals facing ABDM mandates and DPDP enforcement

Saakshya

साक्ष्य · evidence

The BRSR Core & CBAM evidence rail

Shipping on our compliance chassis
  • Every ESG KPI traceable to its source document — meter data, energy bills, fuel logs, ERP feeds in a governed evidence store
  • Assessor-ready output: calculation sheets, emission factors, approvals, audit trail — generated with the number, not reconstructed before the audit
  • Platform-agnostic: feeds the ESG tool you already bought, or replaces the spreadsheet chaos underneath it

Built for

Listed entities entering the FY 2026-27 glide path · CBAM exporters · CA and assurance firms who sign the assessment

Suphal

सुफल · good yield

Yield & telemetry rail for OSATs and data centres

Building next — two design partners in 2026
  • Yield-data lakehouse from day one: equipment/test-log ingestion, lot genealogy, first-pass-yield analytics
  • Sovereign telemetry rail for DCs: power, cooling, capacity unified in-country with tenant-level isolation
  • Vendor-neutral: we integrate with your MES and yield tools, we don't replace your fab stack

Built for

Greenfield OSAT plants and equipment vendors · DC operators selling to regulated enterprises and government

One chassis. Four regulators. Data that never leaves India.

How the chassis works →
Accepting new projects

Ready to make your
data AI-ready?

Let's discuss how we can build trusted data foundations for your AI. Book a free data-readiness call with our team today.

Free Consultation
Quick Response
Flexible Engagement