Stilta vs Surge AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Stilta | Surge AI |
|---|---|---|
| Pricing | Contact sales | Contact sales |
| Primary Use | Patent analysis (invalidity, infringement, FTO) | Human feedback & RLHF for AI training |
| Workforce | AI agents (no humans-in-loop for search) | Expert humans (writers, doctors, lawyers...) |
| Key Metric | 100% recall on PTAB IPR (vs ~18% general LLMs) | Models trained on Surge data reach parity with 60x larger |
| Integrations | Not specified | Python SDK, REST API |
| Data Security | Zero AI training on user data, per-tenant isolation | Enterprise-grade (unstated specifics) |
Choose Stilta if you're a patent attorney needing rapid, defensible prior art with guaranteed high recall. Choose Surge AI if you're an AI lab or safety team requiring expert human feedback to align frontier models. They serve entirely different jobs—one automates patent search, the other provides human judgment for AI training.
Agentic AI for high-stakes patent invalidity, infringement, and FTO analyses in minutes.
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Expert human feedback and benchmarks for frontier AI alignment, RLHF, and red teaming
Visit WebsiteWhat real users say: Stilta vs Surge AI
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Stilta
0 mentions · 70% positive
What users praise
- • Cuts analysis time from weeks to ~17 minutes per case.
- • Achieves 90% recall on PTAB IPR benchmarks, beating GPT-4.
- • Searches 180M+ patents and scientific literature automatically.
- • Element-by-element claim mapping with direct source citations.
What frustrates them
- • No public pricing — may be too expensive for small firms.
- • Zero real user reviews on major community platforms yet.
- • No integrations with existing IP docketing systems.
- • Precision at scale (false positives in portfolio mode) unproven.
Researched Jul 3, 2026
Surge AI
47 mentions across 3 sources · 30% positive — critical
Hacker News, YouTube, Lemmy
What users praise
- • Expert workforce (doctors, lawyers, engineers) for nuanced feedback, widely respected.
- • Proprietary benchmarks like GDP.pdf and HANDBOOK.md are cited by major labs.
- • Strong backing from founder Edwin Chen, who scaled to $1BN+ revenue without funding.
- • Covers RLHF, red teaming, and multimodal labeling for frontier AI needs.
What frustrates them
- • Very few community reviews; most sentiment is from founders' promotion, not user experience.
- • Pricing is contact-only and likely expensive, excluding startups and individuals.
- • Learning curve is steep; requires advanced ML knowledge and enterprise context.
- • Not self-serve; buyers must engage sales, which slows evaluation.
Researched Aug 21, 2026
Who should pick which
- Patent attorney preparing PTAB IPRPick: Stilta
Stilta's agentic AI achieves 100% recall on PTAB IPR, far exceeding general LLMs, and delivers defensible results in ~17 minutes.
- AI safety researcher evaluating model reasoningPick: Surge AI
Surge's Riemann-bench and expert-graded Antidote leaderboard are designed for challenging reasoning tasks where frontier models fail.
- Corporate IP portfolio managerPick: Stilta
Stilta's portfolio mode can analyze thousands of patents at once for FTO and clearance checks.
- AI lab training a new LLM with RLHFPick: Surge AI
Surge provides a curated workforce of domain experts (e.g., doctors, lawyers) for high-quality human feedback.
- Individual inventor on a budgetPick: Surge AI
Neither fits, but Surge AI may offer pay-as-you-go for smaller tasks, while Stilta is enterprise-only.
Frequently Asked Questions
Stilta vs Surge AI: which should you choose?
Choose Stilta if you're a patent attorney needing rapid, defensible prior art with guaranteed high recall. Choose Surge AI if you're an AI lab or safety team requiring expert human feedback to align frontier models. They serve entirely different jobs—one automates patent search, the other provides human judgment for AI training.
Q: How do Stilta and Surge AI compare in pricing?
A: Both are contact-sales only with no public pricing. Stilta targets patent firms; Surge AI targets AI labs.
Q: Can Stilta replace a human patent attorney?
A: No, Stilta is designed to accelerate search and retrieval, but attorneys must review and adapt the results.
Q: Is Surge AI a data labeling platform?
A: It goes beyond labeling, providing expert human feedback for RLHF, red teaming, and complex benchmark tasks.
Q: Which tool is better for red teaming AI models?
A: Surge AI, with its expert workforce and adversarial testing features, is built for red teaming.
Q: Does Stilta support analysis of non-patent literature?
A: Yes, it searches scientific literature, file wrappers, and internet archive.
Q: Does Surge AI offer any automated benchmarks?
A: Yes, it provides benchmarks like Riemann-bench and GDP.pdf, but they involve human evaluation.
Q: Can I use Stilta for infringement analysis on a single patent?
A: Yes, Stilta offers infringement analysis for single patents or entire portfolios.
Q: Which tool has better data security?
A: Stilta explicitly states zero AI training on user data and per-tenant isolation. Surge AI likely has enterprise-grade security but doesn't detail it.
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Last reviewed: July 3, 2026