Just ask your
enterprise data.
KOKAR ASAP auto-builds a living knowledge graph from your business data — then answers complex questions, uncovers root causes, and exports boardroom-ready reports in seconds.
The name says it all
Ask · Slice · Analyze · Predict
Four steps that take you from a raw business question to a confident decision.
Ask
Pose any business question in plain English. ASAP writes an investigation plan before it touches your data.
Slice
Cut across products, regions, time, and customers — the knowledge graph already knows how they connect.
Analyze
It runs read-only SQL and Python to trace root causes — with full provenance back to the source data.
Predict
Model what-if scenarios and project outcomes across the graph — before you commit a single decision.
The Product
Six capabilities.
One conversation.
ASAP isn't a chatbot bolted onto a dashboard. It's a complete analytics layer built around how business users actually think about their data — with full transparency into every step.
Conversational Analytics
A reasoning agent — not a chatbot. ASAP plans, runs SQL and Python across your graph, and answers in plain English with every step shown.
Root Cause Analysis
Surface the "why" behind any metric. ASAP traces causes through the graph with full provenance — every answer links back to the raw source data.
What-If Scenarios
Explore hypotheticals confidently. Adjust any variable and ASAP projects outcomes through your data graph instantly.
Auto-Generated Dashboards
Charts that select themselves based on your question and data shape. Waterfall, Sankey, heat maps — generated live.
Workflow Automation
Chain KG queries into scheduled pipelines. Export to Excel, PowerPoint, or Word automatically — no manual work.
Auto-Built Knowledge Graph
Connect a database and ASAP auto-generates Keywords, KPIs, a Question Bank, and World Views — then bridges in your PDFs, docs, and images. No manual modelling.
Under the hood
Engineered for trust, not vibes.
Provenance on every edge
Each relationship is tagged with how it was derived, a confidence score, and a timestamp — so nothing is a black box.
Multi-source ingestion
8+ databases — Postgres, MySQL, BigQuery, Databricks, Synapse, SAP HANA — plus unstructured PDFs, decks, and images, unified into one graph.
SQL + Python tools
The agent executes read-only SQL and sandboxed Python to compute real answers from live data.
AI Agent
Ask anything.
Get the full investigation.
ASAP doesn't just answer your question — it shows every step of its reasoning, then lands on a clear answer. No black box.
Example question
“Which products have the widest gap between list price and standard cost but still show as low margin — where is the leakage?”
- Builds a full investigation plan before executing a single query
- Runs 10+ tool calls across the knowledge graph to trace the cause chain
- Returns findings, a chart, and a clear answer with the recommended fix
Investigation Plan
get_kg_summary()Orient to available nodes — products, pricing, costs, margins
search_kg("Gross Margin %")Find KPIs and metrics related to margin percentage
search_kg("product cost data")Retrieve standard cost per SKU from the cost nodes
search_kg("product sales data")Get sales volume and revenue by product
analyze_margin_variance()Compute list-vs-cost gaps and identify top leakers
Execution — 13 tool calls
CompleteFindings
| Product | Price-Cost Gap | Margin |
|---|---|---|
| Premium Industrial Filters | 33% | 3.1% ⚠ |
| Precision Bearing Assembly | 28% | 4.7% ⚠ |
| High-Strength Valve Units | 22% | 5.9% ⚠ |
Annual leakage by product (₹M)
Answer
₹2.3M / year
recoverable margin leakage
Root cause
Discounts applied at point-of-sale are not calibrated against per-SKU standard cost. Products with high manufacturing variance receive uniform blanket discounts that erode margin below threshold.
Recommendation
Add SKU-level pricing guardrails that cap discount rates by each product class’s actual cost-to-revenue ratio.
Dashboards
Charts that
think for themselves.
ASAP selects the right chart type for your question automatically — a waterfall for variance, a Sankey for flows, a heat map for regional density. It supports the full Highcharts library, from columns and lines to tree maps, sunbursts, and network graphs. No configuration. No templates.
Powered by the full Highcharts library
Financial Waterfall (FY 2024)
Avg. Days Sales Outstanding
Gross Margin % by Product
Net Value by Region & Category
36+
Chart types in the library
Auto
Chart picked to fit your question
No-SQL
Just ask in plain English
Knowledge Graph
Your data,
already connected.
Connect a database and ASAP builds a Global Context Layer directly on it — auto-generating Keywords mapped one-to-one to every column, business KPIs, a Question Bank pre-wired to SQL, and World Views. A separate ontology captures your unstructured PDFs, documents, and images, and a Bridge agent links them back into the same graph. No manual modelling.
Databases
Schema, tables & columns
KPI definitions
Your business metrics
PDFs & images
Unstructured context
- Connects to 8+ databases — Postgres, BigQuery, Databricks, SAP HANA…
- Auto-generates Keywords, KPIs, a Question Bank & World Views
- Bridges unstructured PDFs, docs & images into the same graph
- Full provenance — every KPI traces back to its source columns
↑ Raw databases, KPI definitions, PDFs and images — continuously converging into one graph.
Live Demo
Watch ASAP explore your knowledge graph
Navigate, search, and query your connected business entities — all from natural language.
Live knowledge graph exploration — semantic search across your connected data
Workflows
Build once.
Deliver everywhere.
Chain multiple KG queries into automated reporting pipelines. Connect outputs to Excel, PowerPoint, or Word — then schedule to run weekly, monthly, or on-demand. No code. No BI team required.
Add query nodes
Drop KG Query blocks onto the canvas — each block is a natural-language question.
Wire to exports
Connect query outputs to Excel, PowerPoint, or Word blocks by dragging port to port.
Run or schedule
Execute on demand or set a weekly / monthly schedule. ASAP runs the whole pipeline.
Download reports
Get formatted, chart-filled reports — ready for management or clients, every time.
Connections
Plugs into
your data stack.
Point ASAP at a live database and it builds the knowledge graph directly on the connection — auto-generating Keywords, KPIs, a Question Bank, and World Views. Add unstructured documents, decks, and images, and the bridge agent links them into the same graph.
Databases & warehouses
Available now
PostgreSQL
Relational
MySQL
Relational
Azure Synapse
Warehouse
Azure SQL DB
Relational
Databricks
Lakehouse
AWS Athena
Query
Google BigQuery
Warehouse
SAP HANA
In-memory
Files & documents
Available now
Document
PowerPoint
Presentation
Word
Document
Images
Vision
More sources
Coming soon
Snowflake
Coming soon
Oracle
Coming soonAmazon Redshift
Coming soon
MongoDB
Coming soon
Salesforce
Coming soon
SharePoint
Coming soonProcess
From data to answers
in 4 steps.
ASAP is designed for organisations that don't have time to wait for BI team backlogs. Fixed scope. Working software. Delivered in weeks, not quarters.
01
Connect your data
Point ASAP at your existing sources — SQL databases, Excel files, REST APIs. No schema mapping required.
02
Auto-build the knowledge graph
ASAP automatically maps relationships, entities, and semantics into a living knowledge graph — in minutes.
03
Ask business questions
Type any question in plain English. ASAP plans, investigates, queries, and returns answers with full transparency.
04
Export & automate
Schedule queries into automated workflows. Export polished reports to Excel, PowerPoint, or Word on a schedule.
Get Started
Scope it in a
30-min call.
Bring a few of your business questions. In a short call we'll walk through how ASAP approaches each one and show you a live example of it in action.