Intelligence & Analysis

Fused Intelligence, Cited to Its Source

Analysts assemble pictures from sources that were never designed to agree. Silicate Labs resolves those sources into one traceable view, and supplies the market and economic context around it.

20 source typesAnswers with citationsMCP server for AI assistants
One entitygraph CRM ERP Spreadsheets Databases APIs & Streams Customer records matched across every systemSupplier and order data merged without re-entrySpreadsheets connected once, kept currentDuplicates resolved into a single entityEvery answer cited to the record behind it
The Challenge

What Holds Intelligence & Analysis Organizations Back

Duplicates Across Every Source

The same person, company, or asset is recorded differently in each system, and matching them by hand takes days.

Answers Without Evidence

Conclusions travel without the records behind them, so they cannot be checked or defended.

Context Held Elsewhere

Market, company, and economic context sits outside the analysis workflow.

What Changes

The Result for Your Organization

01

One Entity, Every Source

Records from 20 source types resolve into one entity graph that stays current.

02

Conclusions You Can Defend

Natural-language answers cite the source records behind them, and FRIS asks when retrieval is weak.

03

Context in the Same Workflow

PSX company data and economic analysis available beside your own records.

Capabilities

How Silicate Labs Delivers It

Entity Resolution

Fuzzy matching and exact identifiers merge duplicates across sources into one entity.

Cited Answers

Questions answered only from your graph, with citations to source records.

Graph Explorer

Trace how any entity connects to records in every source.

Assistant Integration

An MCP server for connecting approved AI assistants to the graph.

Market Intelligence

Company, sector, and tender data across Pakistan's listed market and public procurement.

Economic Analysis

Explanatory analysis of Pakistan's economy, technology, and policy.

How It Works

From Disparate Sources to One Traceable Entity Graph

FRIS connects the systems you already run, resolves duplicate records into one entity, and records the source of every field.

CRMERP / SAPSpreadsheetsDatabasesAPIs & Streams Entity resolutionmatch · merge · cite ONE ENTITY, EVERY SOURCESource recorded per field
Engagement

How an Engagement Runs

Source Connection

Connect FRIS to the CRMs, databases, spreadsheets, and streams you already run; schemas are detected on first connection.

Fusion Review

Review the mapping and matching rules before FRIS writes anything to the graph.

Query & Verification

Ask questions in plain language and open the source record behind any answer.

Questions

Frequently Asked Questions

Answers to the questions intelligence & analysis teams ask most often. For anything else, our engineering team responds within one business day.

Does our data leave our deployment?

Embeddings are generated within your deployment, and answers use the language model you choose: our hosted default or your own provider key.

What happens when two sources disagree?

FRIS chooses a value based on source trust and recency and keeps the provenance of both, so you can see and override the decision.

Which sources can FRIS connect?

Twenty source types, including PostgreSQL, MySQL, MongoDB, SAP OData, Kafka, Slack, Google Sheets, Airtable, REST APIs, and CSV.

Can AI assistants query the graph?

Yes. FRIS provides an MCP server, so approved assistants can query the graph alongside the REST and GraphQL APIs.

Establish One Traceable View

Identify the systems you need to connect, and our engineers will plan a deployment around them.