SarasW by ContexQ
decision intelligence · graph-native
What we do

Connect what you know.
Discover what you don't.

Your data isn't incomplete — it's underread. ContexQ reads the connections inside it, then augments with the world outside, so the answer surfaces before the question gets asked twice.

163M+ entities resolved · governed
12 languages multi-script · phonetic + fuzzy + LLM
Graph-native relationships are first-class
Sovereign-ready on-prem · private cloud · BYO data
01
/ the problem

Enterprises spend on collecting data.
They underspend on connecting it.

Every enterprise sits on customer files, supplier records, transactions, contracts, filings — spread across systems that don't talk. The same entity appears in seven different ways. The relationships that matter are buried two or three hops away. The signal that would change a decision is in a foreign-language news feed nobody is reading. Most platforms treat this as a data quality problem. It isn't. It's a connectivity problem — and graphs are how you solve it.

02
/ what we do

We turn your data into a graph that answers questions.

Four stages. One platform. Same engine across every industry edition.

/ 01
Resolve
one entity from many records
Match the same entity across systems, languages, and scripts. Phonetic, fuzzy, and LLM-augmented — not just exact-match SQL.
/ 02
Connect
relationships you missed
Surface ownership trails, shared directors, cross-border subsidiaries, and supplier dependencies — the graph paths your relational tools can't traverse.
/ 03
Augment
with the world outside
Layer in sanctions, registries, leaks, ESG signals, news, vessel data, and adverse media — from your existing licences or ours.
/ 04
Decide
explainable · defensible
Score, alert, and rank with the graph path that justified the decision. Defensible at audit, tribunal, or board.
Same data. New geometry. ingest · resolve · connect · augment · decide · govern
03
/ what makes it different

We don't replace your stack.
We read what your stack already says.

i.
Graph-native, not graph-bolted-on
Built on a graph engine from day one. Multi-tier, multi-hop traversal at constant query cost — not relational joins pretending to be a network.
ii.
Multi-language, multi-script
Resolves Chinese 漢字, Japanese 漢字, Arabic, Cyrillic, and Latin scripts natively against English registries — phonetic, fuzzy, LLM-augmented matching across 12 languages.
iii.
Bring your own data
Works alongside the data licences you already pay for — not a forced replacement. No vendor lock-in. No closed ontology.
iv.
Sovereign-deployable
On-prem, private VPC, hybrid. Air-gapped option. Your data — citizen, customer, BOM, contract — stays inside your perimeter.
v.
Explainable by design
Every score has a graph path. Every alert has a lineage. Defensible at audit, tribunal, or regulator review.
vi.
One graph, two stories
The same resolved entity surfaces fraud rings on one query and household opportunity on the next. Risk and customer intelligence on a single fabric — not two products, not two integrations.
04
/ built for

One engine. Six industry editions.

Each edition ships with its own data fabric, regulatory frameworks, and reference workflows.

/ i.
Banking & financial services
KYC, financial crime, credit, fraud, customer 360, ESG — for banks, regulators, capital markets.
/ ii.
Insurance
Claims fraud rings, household policy intelligence, underwriting risk, retention — for P&C, health, life carriers.
/ iii.
Manufacturing
Multi-tier supply chain, supplier risk, trade compliance, sustainability — for industrial, automotive, aerospace.
/ iv.
E-commerce
Synthetic-ring fraud, household 360, marketplace integrity, cross-channel cross-sell — for retailers and platforms.
/ v.
Telecom
Subscriber 360, household upsell, SIM-swap and IRSF fraud, dealer risk — for operators and regulators.
/ vi.
Public sector
Tax, customs, procurement, welfare, anti-corruption — for revenue, enforcement, oversight, recovery.
Your data. Your perimeter. Our connection layer.