A banking consortium needed to verify individuals and businesses across multiple registries in seconds — without manual review queues and with evidence its auditors and banking clients would accept. The platform now aggregates 15+ verification sources into one orchestrated, configurable decision.
Identity, tax, registry and social checks lived in separate systems, each with its own latency and data format.
Running providers one after another pushed onboarding into minutes, losing customers mid-flow.
Risk thresholds were hard-coded, so responding to new fraud patterns meant shipping code changes.
Regulators and banking clients needed tamper-evident decision trails that simply did not exist.
We utilized Apache Kafka to handle the high throughput of verification requests. When a user submits an application, Node.js pushes an event to Kafka, which triggers parallel workers to fetch data from Aadhaar, PAN, and Social Media APIs simultaneously. This reduced total verification time by processing checks concurrently rather than sequentially.
We implemented a custom Rules Engine backed by Redis for speed. It allows ATNA to configure "Risk Score" thresholds instantly. PostgreSQL handles the complex relational mapping between Banking Clients, their Pricing Tiers, and the specific APIs they are allowed to access.
For standard document uploads (Address proofs, Incorporation certificates), we used MinIO as a secure, S3-compatible object store, ensuring that sensitive file data is isolated from the application logic.
We strategically deployed Ping Federate within the Azure cloud environment. This involved configuring and optimizing Ping Federate to work with Azure's cloud infrastructure, ensuring smooth migration of user identities and access controls.
To ensure uninterrupted SSO and federation functionality, we employed a phased implementation approach. This allowed for careful integration and testing at each stage, minimizing potential disruptions and maintaining a consistent user authentication experience.
Post-migration, we focused on monitoring and managing the IAM tools within Azure. We optimized their performance for better resource utilization and enhanced security measures. This included regular reviews of security policies and adjustments in line with Azure's evolving security landscape.
Concurrent provider orchestration replaced sequential checks, returning a decision in sub-second time.
A Redis-backed rules engine lets the team tune risk scores and tiers instantly, without a code change.
Identity, business, document and screening checks unified into a single onboarding flow.
Every decision produces an immutable, inspectable audit trail aligned to KYC/AML expectations.
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Real-time facial authenticity analysis, synthetic media detection, and tamper verification neural pipelines.
An event-driven verification gateway that orchestrates 15+ identity, document, registry and screening providers in parallel, returns a sub-second risk decision, and keeps a full audit trail of every check for compliance.
By replacing sequential, one-after-another checks with an event-driven pipeline that fans out to all providers concurrently, so total time is the slowest single check rather than the sum of every check.
Yes. Every decision is backed by versioned policy, per-source evidence and a reproducible record, so a complete evidence pack can be exported for any individual application.
SEE THE PROTOTYPE WE'D BUILD
Tell us where the work slows you down. We'll come back with a prototype of the custom software, internal tools or automation we'd build to remove it — working in weeks, and you own the code.