DEEPFAKE DETECTION
SOFTWARE

Stop synthetic identity fraud before an account is created — deepfake detection, liveness checks and document forensics running in real time inside your onboarding flow.

How we deliver

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.

The Short Answer

What is deepfake detection software?

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.

Our
Approach

Capabilities

What we build

Deepfake & synthetic-media detection

Detect AI-generated faces, video and injected images in real time.

See deepfake detection

Liveness detection

Prove a real, present person — not a replay or a mask.

See deepfake detection

Document forensics

Detect forged, tampered or synthetic identity documents.

See the KYC/KYB platform

High-throughput pipelines

Score video and images at scale without slowing onboarding.

Cloud architecture

Model monitoring

Track detection performance as attack techniques evolve.

AI development

Is This Solution Right for You?

Remote Onboarding

Businesses verifying users remotely without a physical branch presence.

High-Volume Platforms

Products scoring large volumes of video and images in real time.

Fraud & Trust Teams

Teams watching synthetic identities defeat basic liveness checks.

Regulated Identity

Fintech, banking, insurance and healthcare with identity obligations.

Deepfake detection and liveness scoring

What
you'll Gain

Synthetic identities stopped at the front door, real users passing without friction, and detection that keeps pace as attacks evolve.

01

Stop Synthetic Identities

AI-generated faces, injected video and forged documents are caught before an account is created.

02

Low Friction for Real Users

Passive checks let genuine customers through quickly, challenging only the suspicious.

03

Real-Time at Scale

High-throughput, event-driven pipelines score media without slowing onboarding.

04

Detection That Keeps Pace

Continuous monitoring and retraining keep accuracy up as attackers adapt.

05

You Own the Models

Source code, models and infrastructure are yours, with no lock-in to us.

TOTAL TRANSPARENCY

Common Concerns We Address

We scope detection to the attack surface that matters to your onboarding, with measurable accuracy targets.

Cost

Detection is scoped to the attack surface that matters to you, with milestone-based pricing.

False Positives

We tune thresholds and combine signals so genuine users are not blocked by over-sensitive checks.

Latency

Inference runs in real time, adding milliseconds rather than seconds to onboarding.

Model Drift

We monitor performance against live traffic and retrain, so detection stays effective over time.

Pricing

Engagement models

Transparent, milestone-based pricing. You own the code, the data and the IP.

01

Fixed-scope milestone

A defined deliverable with milestone-based pricing — best when the scope is clear.

02

Dedicated sprint retainer

Continuous agile delivery with bi-weekly demos — best for evolving products.

03

Fractional CTO / technical leadership

Architecture, security and roadmap ownership without a full-time hire.

Questions

Frequently asked questions

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

Give us 30 minutes. We'll show you the fix.

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.