An AI-native data intelligence and automation platform
A Modern Alternative - built for speed, trust and explainability at enterprise scale
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.
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 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
Conversational Intelligence
Ask questions in business language. Get answers with context, drivers, and reasoning not just charts or queries.
Text to SQL
For analysts and power users: flexible exploration with text-to-SQL, plus full control through an SQL editor.
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 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
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.
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.
We believe data drives better decisions, but only when business and technology are deeply integrated
Why We Exist
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
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
Trusted by Enterprises Solving Complex Data Problems
We commit to asking the right questions – and staying accountable to deliver.
