Stop synthetic identity fraud before an account is created — deepfake detection, liveness checks and document forensics running in real time inside your onboarding flow.
Prototype-first. We build a working prototype of the core flow in weeks, so you validate the real system before committing to full build — and you own the code.
Deepfake detection software identifies AI-generated or manipulated media — face swaps, synthetic video and injected images — used to defeat identity checks. Combined with liveness detection and document forensics, it confirms that a real person is present and that documents are genuine. Solvstrat builds high-throughput detection pipelines that run inside onboarding, not after the fact.
Detect AI-generated faces, video and injected images in real time.
See deepfake detectionScore video and images at scale without slowing onboarding.
Cloud architectureBusinesses verifying users remotely without a physical branch presence.
Products scoring large volumes of video and images in real time.
Teams watching synthetic identities defeat basic liveness checks.
Fintech, banking, insurance and healthcare with identity obligations.

Synthetic identities stopped at the front door, real users passing without friction, and detection that keeps pace as attacks evolve.
AI-generated faces, injected video and forged documents are caught before an account is created.
Passive checks let genuine customers through quickly, challenging only the suspicious.
High-throughput, event-driven pipelines score media without slowing onboarding.
Continuous monitoring and retraining keep accuracy up as attackers adapt.
Source code, models and infrastructure are yours, with no lock-in to us.
We scope detection to the attack surface that matters to your onboarding, with measurable accuracy targets.
Detection is scoped to the attack surface that matters to you, with milestone-based pricing.
We tune thresholds and combine signals so genuine users are not blocked by over-sensitive checks.
Inference runs in real time, adding milliseconds rather than seconds to onboarding.
We monitor performance against live traffic and retrain, so detection stays effective over time.
Real-time fraud prevention running in production.
Forensics and liveness scoring for a global identity provider.
Read case studyReal-time synthetic-fraud prevention at high throughput.
Read case studyThe high-volume inference platform behind detection at scale.
Read case studyWhere detection plugs into onboarding decisions.
Read case studyTransparent, milestone-based pricing. You own the code, the data and the IP.
A defined deliverable with milestone-based pricing — best when the scope is clear.
Continuous agile delivery with bi-weekly demos — best for evolving products.
Architecture, security and roadmap ownership without a full-time hire.
Software that identifies AI-generated or manipulated media — face swaps, synthetic video and injected images — used to defeat identity checks. It is usually combined with liveness detection and document forensics.
Liveness confirms a real, present person rather than a photo or replay; deepfake detection identifies AI-generated or manipulated media. Used together they close different gaps in the same attack surface.
Yes. We build event-driven, high-throughput pipelines that score media in real time, so fraud is caught without adding friction to legitimate users.
We monitor model performance against real traffic and retrain as attack techniques evolve, so detection stays effective over time rather than degrading silently.
Yes. You own the source code, the models and the infrastructure, with no lock-in to us.
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.