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Living Semantic Layer
Business definitions, metrics, relationships, and logic — captured in business language and kept continuously up to date.
Reimagining the Enterprise Data Stack for the 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 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.
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Usage-Driven Learning
Learns from real queries and usage patterns to continuously refine definitions, relationships, and logic — aligned to how the business actually works.
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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 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.
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.
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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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.
Know moreBuilding the agent is the visible 10–15% of the work. The other 85–90% — workflow decomposition, context engineering, data substrate, integration, governance — is where outcomes live or die.
We deliver both halves on a single platform we own. Storage, compute, lineage, quality, governance, and enterprise context in one box. Agents in production in under two weeks, because the substrate already exists.
A pod, defined: small, senior, forward-deployed, end-to-end accountable — with your SME embedded inside it. Not a fifteen-person factory. Not an offshore center. Not a body shop.
How the work flows
Six stages. Same pod throughout. Continuous from triage to steady state.
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 pipeline 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.
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.
About Us
We believe data drives better decisions — but only when business and technology are deeply integrated
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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.
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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.
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The gap we see
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.
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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
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Automations
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Trust & Governance
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Workflows
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Intelligence
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Reasoning
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Decision Making
The team behind Wekalp
Leadership
Testimonials
Trusted by enterprises solving complex data problems
We commit to asking the right questions — and staying accountable to deliver.
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
Resources
Practical applications, engineering notes, and playbooks
See Wekalp in motion.
Schedule a working session with our team to see how Enterprise Context, AI-native intelligence, and automation come together on a single platform.