Halo by Scam AI vs Prelint: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Halo by Scam AI and Prelint — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Halo by Scam AI
Reality Inc
AI trust platform that detects deepfakes, voice clones, and GenAI content across images, video, audio, IDs, and live video calls.
Key features
- Deepfake Detection: Catches face swaps, lip-sync, reenactment, and cloned voices that impersonate real people in image, video, and audio.
- GenAI Content Detection: Identifies fully synthetic images, video, and audio from Stable Diffusion, DALL·E, Midjourney, Sora, and ElevenLabs.
- Halo On-Device Call Protection: Runs 100% on-device to flag synthetic faces and face swaps live on Zoom, Teams, and Meet without recording or uploading anything.
- Eva-v1 Model Family: Eva-v1-Fast returns verdicts on images in under 2 seconds; Eva-v1-Pro delivers forensic-grade accuracy in under 4 seconds.
- Unified REST API: One integration handles both deepfake and GenAI detection across image, video, and audio via a single authenticated endpoint.
- Identity & Document Verification: Detects forged IDs, manipulated selfies, and AI-generated documents before onboarding completes.
- Add-on Defenses: Adaptive Defense, Active Liveness, and Express Lane low-latency mode extend detection with injection-attack protection and 3s response SLAs.
- Enterprise Compliance: GDPR compliant, SOC 2 Type II attested, and no media retention by default, with configurable retention for audit needs.
Best for
- KYC & Onboarding: Financial services and marketplaces block AI-generated selfies and forged IDs before an account is opened.
- Contact Center Fraud Prevention: Detect voice clones in real time to stop synthetic-caller attacks against call-center authentication.
- Executive Call Protection: Halo alerts staff to face-swap impersonations on video calls before authorizing wire transfers.
- Hiring & Remote Interviews: Recruiters catch deepfake candidates impersonating real engineers during video interviews.
- Content Moderation: Media platforms scan uploads at scale to flag GenAI images, video, and audio before they reach users.
- Insurance Claim Review: Detect manipulated photos and forged supporting documents submitted with claims.
Prelint
Prelint
AI reviewer that checks every pull request against your ADRs, docs and past decisions to catch product drift before it ships.
Key features
- Context-Aware Review: Reviews each PR against your ADRs, product docs and past decisions instead of only linting style or syntax.
- Product Drift Detection: Flags conflicts, gaps and drift between the PR's intent and your product context inline in the diff.
- Agent Self-Correction: The Prelint agent can self-correct against detected violations before a human reviewer opens the PR.
- GitHub & GitLab Integration: Runs on both major hosted git platforms with native PR/MR integration.
- Isolated Infrastructure: Every organization runs on isolated per-organization infrastructure and Prelint does not train on customer code.
- Usage-Based Pricing: $1 per completed review with $10 in free credits, no seats or subscription.
Best for
- AI-Written PR Triage: A team using coding agents like Copilot or Claude Code lets Prelint gate agent PRs against product intent before humans look.
- Architecture Enforcement: A platform team encodes architecture decisions in ADRs and uses Prelint to catch PRs that violate them.
- Onboarding Safety Net: A new engineer's early PRs get reviewed against product context they haven't fully internalized yet.
- Open Source Maintenance: A maintainer of a public repo enables Prelint (free for OSS) to review incoming contributions for product fit.
- Cost-Controlled Review: A startup wants automated review without paying per developer seat and pays $1 per PR instead.