Reimagining the Enterprise Data Stack for AI Era

Reimagining the Enterprise Data Stack for AI Era

An AI-native data intelligence and automation platform

A Modern Alternative - built for speed, trust and explainability at enterprise scale

Enterprise Context

Enterprise Context

Enterprise Context is the missing layer of the AI Data Stack

Most data stacks were built to produce reports - not understanding.
Without context, AI can retrieve data, but it can’t reliably explain what it means or why it happened.

Living Semantic Layer

Business definitions, metrics, relationships, and logic — captured in business language and kept continuously up to date.

Living Semantic Layer

Business definitions, metrics, relationships, and logic — captured in business language and kept continuously up to date.

Usage-Driven Learning

Learns from real queries and usage patterns to continuously refine definitions, relationships, and logic — aligned to how the business actually works.

Usage-Driven Learning

Learns from real queries and usage patterns to continuously refine definitions, relationships, and logic — aligned to how the business actually works.

Multi-Source Context Enrichment

Ingests PDFs, images, spreadsheets, and notes to capture real-world context — policies, assumptions, seasonality, and exceptions — enriching structured data with meaning

Multi-Source Context Enrichment

Ingests PDFs, images, spreadsheets, and notes to capture real-world context — policies, assumptions, seasonality, and exceptions — enriching structured data with meaning

AI-Native Intelligence

AI-Native Intelligence

AI-native intelligence built to answer “Why”, explain "How" and guide “Next”

Traditional BI was built for static insights and predefined questions.
With Enterprise Context in place, AI can deliver explainable, decision-ready insights including drivers, anomalies, and root causes

Business Summarizations

Board-ready summaries tailored to what matters, configurable at any point, and curated based on your interests

Business Summarizations

Board-ready summaries tailored to what matters, configurable at any point, and curated based on your interests

Conversational Intelligence

Ask questions in business language. Get answers with context, drivers, and reasoning not just charts or queries.

Conversational Intelligence

Ask questions in business language. Get answers with context, drivers, and reasoning not just charts or queries.

Conversational Visualization

Generate narratives and visuals for reviews, leadership meetings, and board discussions - in minutes.

Conversational Visualization

Generate narratives and visuals for reviews, leadership meetings, and board discussions - in minutes.

Text to SQL

For analysts and power users: flexible exploration with text-to-SQL, plus full control through an SQL editor.

Text to SQL

For analysts and power users: flexible exploration with text-to-SQL, plus full control through an SQL editor.

Platform

Platform

The Data Foundation Powering AI-Native Intelligence

Wekalp’s core platform is the execution layer beneath AI-native intelligence - enabling automation, data control, governance, and change without disrupting existing workflows.

Ingest & Store

Ingest structured and unstructured data through APIs, connectors, and uploads, and build a reliable operational data foundation

Orchestrate & Audit

Automate source-to-insight workflows with continuous observability for monitoring and audits

Manual Override

Use clear breakpoints, re-runs, and restartability — with visibility into downstream impact.

View & Distribute

Deliver insights in configurable formats and distribute through Email, slack, and other channels

Source Management

Track loads across business units and periods with quality checks, variance monitoring, and pattern detection.

Master Management

Auto-detect new codes and track changes over time - with clean separation of codes and descriptions

Data & Insight Versioning

Maintain an audit-friendly, immutable version & history of uploads, adjustments, and reprocessing

Explore & Share

Maintain working datasets for automation, curated datasets for analytics, virtual datasets for ad-hoc use, and public datasets for external sharing.

KPIs & Validations

Configurable validations across data, metrics, and insights - with learning reinforced through usage

Access & Control

Role-based access with built-in review workflows for sensitive actions.

Lineage and Traceability

Full traceability from KPI/Metric/Insight to source - with drill-downs to granular data and version history.

Explainability

Business reference tags for backward traceability and forward impact analysis.

Discover

Process discovery to analyze new & detect changes in existing KPIs, metrics, data models, and templates across workflows

Map

Automated transformation mapping with row- and column-level change detection to reduce manual ETL configuration

Auto-Code

Controlled, versioned code generation for SQL and business rules - with sandboxed testing.

Deploy Fast

Metadata-driven deployments across environments — without heavy technical dependency.

Automation

Ingest & Store

Ingest structured and unstructured data through APIs, connectors, and uploads, and build a reliable operational data foundation

Automation

Ingest & Store

Ingest structured and unstructured data through APIs, connectors, and uploads, and build a reliable operational data foundation

Data Management

Source Management

Track loads across business units and periods with quality checks, variance monitoring, and pattern detection

Data Management

Source Management

Track loads across business units and periods with quality checks, variance monitoring, and pattern detection

Governance & Trust

KPI & Validations

Configurable validations across data, metrics, and insights - with learning reinforced through usage

Governance & Trust

KPI & Validations

Configurable validations across data, metrics, and insights - with learning reinforced through usage

Change Management & App Development

Discover

Process discovery to analyze new & detect changes in existing KPIs, metrics, data models, and templates across workflows

Change Management & App Development

Discover

Process discovery to analyze new & detect changes in existing KPIs, metrics, data models, and templates across workflows

Solutions

Solutions

Solutions Specific to Your Business Needs

Solutions designed to digitize complex business problems — high data volumes, fragmented systems and teams, and regulatory or operational pressure with no room for error

BFSI

Regulatory Reporting

Eliminate reporting delays and audit friction with lineage-driven, business-owned regulatory reporting, without rigid pipelines or vendor lock-in.

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BFSI

Regulatory Reporting

Eliminate reporting delays and audit friction with lineage-driven, business-owned regulatory reporting, without rigid pipelines or vendor lock-in.

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CPG

Sales Intelligence & Automation

Deliver role-specific, context-aware sales intelligence that mirrors your actual hierarchies, not standardized dashboards.

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CPG

Sales Intelligence & Automation

Deliver role-specific, context-aware sales intelligence that mirrors your actual hierarchies, not standardized dashboards.

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CPG

Distributor Claims & Pricing Portal

Reduce revenue leakage and settlement cycles with configurable, audit-ready claims and pricing workflow, without disrupting distributors.

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CPG

Distributor Claims & Pricing Portal

Reduce revenue leakage and settlement cycles with configurable, audit-ready claims and pricing workflow, without disrupting distributors.

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Technology

Technology

Technology Designed to Maximise ROI

Wekalp’s technology foundation is built to make AI fast, cost-efficient, explainable, and enterprise-ready - without forcing architectural compromises.

Intelligent Compute

A performance-first compute layer for ETL, automation, reporting, and AI workloads.

Vectorized execution for high-volume transformations. Built on modern open-source foundations to handle complex processing requirements at scale without performance trade-offs.

Query-optimized orchestration and memory-efficient processing. Columnar execution, intelligent orchestration, and optimized encoding reduce compute footprint during large-scale pipelines operations

Formula-to-rules translation for repeatable business logic. A proprietary formula parser converts complex Excel logic into version-controlled rules that power both reporting and AI reasoning.

Intelligent Compute

A performance-first compute layer for ETL, automation, reporting, and AI workloads.

Vectorized execution for high-volume transformations. Built on modern open-source foundations to handle complex processing requirements at scale without performance trade-offs.

Query-optimized orchestration and memory-efficient processing. Columnar execution, intelligent orchestration, and optimized encoding reduce compute footprint during large-scale pipelines operations

Formula-to-rules translation for repeatable business logic. A proprietary formula parser converts complex Excel logic into version-controlled rules that power both reporting and AI reasoning.

Lakehouse Storage

Enterprise data in open formats on object storage - vendor-neutral, cost-efficient, and built for scale.

Decoupled storage and compute for elastic performance. Separate storage from in-process analytics to scale efficiently and avoid idle infrastructure costs

Optimized layout for fast analytics on large datasets. Compression, partitioning, indexing, and intelligent caching improve query performance across large volumes without constant tuning.

Open formats for portability and long-term control. No vendor lock-in - your data remains portable, accessible, and reusable across tools and ecosystems.

Lakehouse Storage

Enterprise data in open formats on object storage - vendor-neutral, cost-efficient, and built for scale.

Decoupled storage and compute for elastic performance. Separate storage from in-process analytics to scale efficiently and avoid idle infrastructure costs

Optimized layout for fast analytics on large datasets. Compression, partitioning, indexing, and intelligent caching improve query performance across large volumes without constant tuning.

Open formats for portability and long-term control. No vendor lock-in - your data remains portable, accessible, and reusable across tools and ecosystems.

Enterprise Grade Security

Security, access control, and auditability - embedded across every layer.

CERT-IN Certified, Single-tenant deployment with flexible hosting options. Deploy on-premises, in your cloud, or on ours - with encryption at rest and in transit.

Granular access controls across data and workflows. Role-based access control (RBAC) across platform features, datasets, and insights - aligned to enterprise governance needs.

SSO + audit trails for compliance and accountability. Enterprise SSO integration with detailed audit trails capturing both technical and business user activity.

Enterprise Grade Security

Security, access control, and auditability - embedded across every layer.

CERT-IN Certified, Single-tenant deployment with flexible hosting options. Deploy on-premises, in your cloud, or on ours - with encryption at rest and in transit.

Granular access controls across data and workflows. Role-based access control (RBAC) across platform features, datasets, and insights - aligned to enterprise governance needs.

SSO + audit trails for compliance and accountability. Enterprise SSO integration with detailed audit trails capturing both technical and business user activity.

AI & LLMs

Efficient, governed, and explainable use of LLMs - grounded in enterprise data.

Model flexibility without lock-in. Choose and switch LLMs based on use case, performance, and risk - without redesigning your stack.

Token-efficient context packaging for predictable costs. Structured, context-only prompts and dense payload formats reduce token usage and improve response consistency.

Agentic workflows with guardrails and traceability. Pre-built agents work together across planning, representation, and visualization - with guardrails to reduce hallucinations and improve explainability.

AI & LLMs

Efficient, governed, and explainable use of LLMs - grounded in enterprise data.

Model flexibility without lock-in. Choose and switch LLMs based on use case, performance, and risk - without redesigning your stack.

Token-efficient context packaging for predictable costs. Structured, context-only prompts and dense payload formats reduce token usage and improve response consistency.

Agentic workflows with guardrails and traceability. Pre-built agents work together across planning, representation, and visualization - with guardrails to reduce hallucinations and improve explainability.

About Us

About Us

We believe data drives better decisions, but only when business and technology are deeply integrated

Why We Exist

Enterprises have more data than ever - across systems, teams, and channels, with rising regulatory and operational complexity.
Yet decision-making is still largely supported by technology that answers only “what happened,” while digitizing such processes remains slow, rigid, and effort-intensive

Enterprises have more data than ever — across systems, teams, and channels — with rising regulatory and operational complexity.
Yet decision-making is still largely supported by systems that answer only “what happened,” while building even these systems remains slow, rigid, and effort-intensive.

Who We Are

We bring 70+ years of combined experience building and operating AI, data analytics, and enterprise software in real-world environments.
We’ve seen what works - and more importantly, what doesn’t

Sourav

Sekhar

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Varun

Sood

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Sameer

Madhwere

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Samir

Mehta

Linkedin

Nishant

Banisetty

Linkedin

Sourav

Sekhar

Linkedin

Varun

Sood

Linkedin

Sameer

Madhwere

Linkedin

Samir

Mehta

Linkedin

Nishant

Banisetty

Linkedin

The Gap We See

Through years of hands-on experience, one pattern became clear:

  • Business owns the logic - but not the tools to operationalize it.

  • Technology owns the tools - but often lacks deep business understanding

    These limitations are now being layered into AI initiatives, creating another cycle of short-term patchwork.

Our Perspective

The best systems don’t just report. They explain, adapt, and guide action - answering “why” and “how,” not only “what.”


At the center of such systems is Enterprise Context - defined in business language, governed properly, and controlled by the business, with technology enabling it at scale.

We bring together Enterprise Context, Automation, and Governance to deliver intelligence that is fast, explainable, and trusted - on a single cohesive platform, that complements your existing systems and evolves with business.

Enterprise Context
Automations
Trust & Governance
Workflows
Intelligence
Reasoning
Decision Making

Testimonial

Testimonial

Trusted by Enterprises Solving Complex Data Problems

We commit to asking the right questions – and staying accountable to deliver.

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"Wekalp has proven to be a trusted partner in building enterprise automation at scale, and I would strongly recommend them for organizations looking to simplify complex, high-stakes data workflows"

Chief Technology Officer

Renowned Indian Beverages Brand

"The speed and agility of Wekalp’s delivery have been remarkable compared to our earlier digitization efforts. For organizations weighed down by rigid technologies that fail to capture real-world complexity, Wekalp offers a refreshingly practical way forward"

Chief Finance Officer

Indian Conglomerate, Multiple Food Businesses

"Wekalp has proven to be a trusted partner in building enterprise automation at scale, and I would strongly recommend them for organizations looking to simplify complex, high-stakes data workflows"

Chief Technology Officer

Renowned Indian Beverages Brand

"The speed and agility of Wekalp’s delivery have been remarkable compared to our earlier digitization efforts. For organizations weighed down by rigid technologies that fail to capture real-world complexity, Wekalp offers a refreshingly practical way forward"

Chief Finance Officer

Indian Conglomerate, Multiple Food Businesses