Identity and fraud software development
Ifyouselltrust,yourproductisjudgedbythecompanyitkeeps
Smoking Chimney Studios® builds the engineering layer of digital trust products — secure backends, identity platform integrations, compliance workflow software, and AI-enabled risk applications. Our own product scope is an AI-powered KYC/KYB verification platform, so we know this market from the inside: verification logic that is explainable, integrations that degrade gracefully, and evidence that is structured rather than reconstructed.
What digital trust teams bring us
Thestructuralpressuresonidentityandfraudproducts
Integration surface is the first pressure
An identity or fraud product that cannot plug into a customer's stack does not get bought. The real product is the integration layer: SDKs, APIs, webhook discipline, and support for the authentication and data standards your buyers already run.
Adversarial quality is a product feature
Fraud patterns shift faster than release trains, which makes measurement, retraining loops, and human review paths product features rather than internal details. Evaluation baselines and explainable reason codes are what auditors and analysts need.
Procurement demands proof in writing
Enterprise buyers ask hard security questions before the pilot, and the answers have to exist in writing: data-flow diagrams, retention and deletion behavior, audit logging they can query, and failure behavior described honestly. Teams that engineer these answers in advance close procurement faster.
What we build
Engineeringforidentity,fraud,andsecurityteams
Identity Platform Integrations
Verification vendor orchestration, SSO and identity provider integrations, SDK and API surface design, and webhook/event architectures that keep customer systems in sync. Built so a failing vendor check is a contained incident, not an onboarding outage.
Secure Backend Engineering
Services designed around least privilege, encryption in transit and at rest, secret management, structured audit logging, dependency and vulnerability management, and environment separation. Security review is part of definition-of-done, not a pre-launch gate.
Compliance Workflow Software
Case management, review queues, escalation paths, and audit-ready evidence trails for KYC/KYB, AML, and fraud operations — the workflow layer where analyst time and regulator questions actually land.
AI-Enabled Risk Applications
Document intelligence, risk scoring with reason codes, and anomaly detection designed for adversarial drift — shipped with evaluation baselines, human-in-the-loop review, and override logging so the system stays explainable to auditors and analysts alike.
How we engage
Scopedpackagesthatcloseprocurement,notjustshipcode
Integration inventory and security requirements review
We map your integration surface, the security requirements your customers impose, and the audit obligations your platform carries — before we write a line of code.
Written scope with acceptance criteria
Discovery ends with a written scope: what ships first, what integrates, what the security acceptance criteria are. Your customers' security requirements become acceptance criteria for the work package.
Delivery in your repositories
Pull requests against your standards, reviewed by your engineers as well as ours. No parallel process, no reporting theater.
Handover documentation
Architecture documentation, data-flow diagrams, retention and deletion behavior stated in writing — the answers that close procurement questionnaires.
Frequently asked questions
Questionsidentityandfraudteamsaskus
Security requirements are written into the definition of done: least-privilege access, encryption, secret management, structured logging, and dependency management are baseline practices on every service we ship, with code review and environment separation on top. For customer security reviews, we provide architecture documentation and complete questionnaires; formal attestations are organizational matters — ask us directly about current status and we will answer without overclaiming.
Yes — discovery includes a review of the security requirements your customers impose, and those become acceptance criteria for the work package. Where a requirement conflicts with the architecture, we surface the conflict early with options, rather than discovering it during an audit.
By minimization and explicit policy: collect only what the workflow needs, set retention limits up front, and keep human review in the loop wherever an automated decision affects a customer. Every model-assisted step ships with an evaluation baseline and reason codes, so risk decisions can be explained to analysts, auditors, and the people they affect.
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+91 77219 12611
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PCMC - Pune, India - 411033
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