GSC Platform turns scattered public data into verified identities, reputation scores that move with reality, and an audit trail your regulator will accept. One API. No spreadsheets.
Northbank Holdings Ltd
3 aliases collapsed · 2 domains · 1 registry match
Reputation index
78+4 this week
Running inside risk, trust & safety and compliance teams
Four commitments the platform is engineered around - and the ones we get asked to prove in every procurement review.
Every claim is cross-checked against independent sources before it reaches your response. Confidence comes back as a number with the sources attached, so a decision can be defended months later.
One REST surface, typed SDKs, and a sandbox seeded with realistic fixtures. Most teams ship their first production lookup the same day they get keys.
Deletion, correction and opt-out are wired into the pipeline rather than bolted on. Every lookup writes an immutable record.
A thousand lookups a month or ten million a day run on the same contract, the same latency envelope, the same encryption model.
Each surface reads from the same resolved graph, so a score in one product never contradicts a score in another.
Collapse aliases, handles, domains and records into a single canonical entity with a traceable match score.
Track how an entity is perceived across public review, forum and social signal - as a score that moves when reality does.
Surface the patterns that precede chargebacks, account takeover and synthetic identity, before they cost you.
A predictable JSON surface with idempotent batch jobs, streaming updates and a sandbox that mirrors production.
Honour deletion, correction and opt-out requests automatically - with proof you can hand to a regulator.
Watch the entities that matter and get told the moment something material changes about one of them.
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Signals processed each quarter
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Uptime, trailing twelve months
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API response time at p95
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Models in continuous evaluation
Five stages, each ending in something you can review - a document, a green test, a signed artefact. Nothing moves forward on a verbal yes.
We map your data flow, your regulatory surface, and the systems the API has to live inside. You get a written integration scope before anyone writes code.
Deliverable: Integration scope document
We define what an entity means for your business, which signals count as evidence, and where the thresholds sit for approve, review and decline.
Deliverable: Scoring & threshold spec
Endpoints, webhooks and dashboards go live in your sandbox first. We pair with your engineers until the first production call comes back green.
Deliverable: Passing production call
We calibrate against your own outcome data, close the false-positive gap, and produce the compliance artefacts your auditor is going to ask for.
Deliverable: Audit evidence pack
Quarterly model reviews, drift reports and capacity planning. Your thresholds keep moving, because the data underneath them keeps moving.
Deliverable: Quarterly review cadence
Accuracy is what gets us into the evaluation. What keeps teams here is that every number we return can be explained to someone who is not in the room.
Engineers and data scientists out of identity, payments and trust & safety. Yours will not be our first large-scale deployment.
Named integration lead from day one
Every score carries the sources behind it. A score you cannot show your work on is a liability, not an asset.
Source trace on every response
The API is the product. Dashboards are a convenience layer on top of it, never a place data gets stuck.
REST · JSON · sandbox parity
We decline use cases we are not willing to support. That is precisely why the ones we do support pass review.
Published acceptable-use policy
“We replaced a queue of manual identity checks with one API call. Review volume dropped by about two thirds in the first quarter, and the cases we still escalate are the ones that genuinely deserve a person.”
“The evidence trail did more for our ISO renewal than six months of documentation we wrote ourselves. Accuracy is what sold us. The audit record is why we are still here two years later.”
It resolves fragmented public data into canonical entities - people, companies, domains, numbers, digital assets - then scores them for reputation and risk. You query it through one API and get structured JSON with the evidence behind every score attached.
Send us a representative workload. We will run it in a sandbox, show you the confidence distribution, and tell you plainly where our coverage is thin. No slide deck required.