One foundation. Every use case plugs in.
Unified Data. Intelligent Insights. Actionable AI. We build the whole road — from raw, scattered data to a decision someone can act on. Build the foundation once, and every dashboard, pack, answer, and nudge reuses it, with nothing rebuilt from scratch.
Ask five teams the same question, and you'll get five answers.
That isn't a reporting problem — it's a foundation problem. When every dashboard, model, and tool is built on its own copy of the data, the numbers drift, the rework compounds, and programs stall at three dashboards. We invert it: unify every source once, govern it once, and let everything downstream reuse it.
One truth in. One truth everywhere out — web, mobile, WhatsApp, inbox.
Before — a copy for every question
- Five teams, five versions of the same number
- Weeks to add a new source; reports rebuilt each time
- Reviews spent reconciling, not deciding
- Insight arrives after the moment to act
After — one foundation, reused
- One governed number every team trusts
- New sources added in days; nothing rebuilt
- Reviews start at the decision
- Insight reaches the right person in time
The Common Data Model — ready for your industry, ready for your function.
The reason our first dashboard ships in weeks is that we don't start from a blank page. The Engine lands your data into a pre-built Common Data Model, perfected over the years for each industry and each function — pharma, FMCG, manufacturing, retail; sales, finance, supply chain and more. Nothing is reinvented, so the solution reaches your users fast. Every model is BI- and AI-ready by design, exposed through a semantic layer and a governed KPI dictionary.
Every product reads from that same semantic layer. That's why the dashboard number, the review-pack number, LIA's answer and the field nudge can never disagree — they're the same number.
ERP, CRM, SFA, files, APIs, market data — any system, any format
Validated, reconciled, de-duplicated — quality checked on entry
Pre-built, industry- and function-specific entities — BI- and AI-ready
One definition of every measure, row-level security applied
CORE BI · Review Packs · LIA · MVibes · alerts · agents · API
Built on modern lakehouse architecture — Databricks · Microsoft Fabric — with medallion Bronze → Silver → Gold layers, fed by our custom-built integration engine.
Four stages. One story: Unify → See → Ask → Act.
Point tools each solve one slice, and none of them talk to each other. One platform means the slice you buy today makes the next one faster to build.
Analytical Engine + Data Management
Every source unified into one governed, AI-ready warehouse — plus a governed app for the business context no system captures.
CORE BI + Review Packs
Self-service dashboards for every function and level — and review packs generated by role, delivered on schedule.
LIA — Intelligent Assistant
Plain-language questions, governed answers from your own data — traceable to source, within your access rules.
MVibes & AI Agents
A personal coach for every field rep — and agents that watch your business 24/7, flagging risks and triggering action.
AI you can defend in an audit.
Generic AI tools guess and ignore access rules. Everything on the LeapSurge platform is grounded by architecture — so an answer is always traceable to the data behind it.
Approved data scope
Every answer, pack, and nudge draws only from governed datasets and approved KPI definitions.
Row-level security
Each user — from CEO to field rep — sees only their entitled data, on every channel.
Audit trails
Enrichment, mappings, and pack generation are tracked, reviewable, and traceable to source.
Human guardrails
Confidence boundaries, escalation paths, and validation loops keep AI accountable to people.
If you can name the system, we can connect it.
Eight families of sources, unified by the Analytical Engine. Every brand shown here is only an example — bring your data in any form, and we build the intelligence around it. One custom-built integration engine handles them all — a new source is a configuration, not a project.
SAP · Oracle · Tally · Dynamics · Custom ERP …
Salesforce · Zoho · field-force apps …
SQL Server · Oracle · Snowflake · lakehouse …
Excel, CSV, Google Sheets, PDFs
HRMS, e-commerce platforms, portals
REST/SOAP APIs, in-house applications
IQVIA · SMSRC · AIOCD …
Social media, web & campaign analytics
Brand names are illustrative examples only and remain the property of their respective owners.
AI agents — built on a foundation that already runs in production.
Most agentic AI will fail on ungoverned data — Gartner expects over 40% of agentic AI projects to be canceled by 2027, even as 15% of day-to-day work decisions become autonomous by 2028 (Source: Gartner, 2025) ↗. Our agents are in development on the same governed foundation that serves 20,000+ users today — presented honestly as roadmap, not slideware.
WBR Agent
Assembles the weekly business review — numbers, deviations, and the questions worth asking.
Territory Intelligence Agent
Watches every territory for slippage, opportunity, and coverage gaps — and briefs the owner.
Customer Alert Agent
Detects risk signals in ordering and payment behavior before the relationship shows it.
Inventory Optimization Agent
Monitors stock cover, expiry, and demand — and proposes the transfer plan, not just the alert.
See the platform on your own data.
Bring one messy source and one hard question to a discovery call — we'll show you the road from both to a decision.
Book a Discovery Call →