Stilta vs Surge AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-08
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At a glance

DimensionStiltaSurge AI
PricingContact salesContact sales
Primary UsePatent analysis (invalidity, infringement, FTO)Human feedback & RLHF for AI training
WorkforceAI agents (no humans-in-loop for search)Expert humans (writers, doctors, lawyers...)
Key Metric100% recall on PTAB IPR (vs ~18% general LLMs)Models trained on Surge data reach parity with 60x larger
IntegrationsNot specifiedPython SDK, REST API
Data SecurityZero AI training on user data, per-tenant isolationEnterprise-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.

Stilta
Stilta

Agentic AI that runs invalidity, infringement, and freedom-to-operate patent analyses with word-for-word source citations.

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Surge AI
Surge AI

Surge AI supplies expert human RLHF data, red teaming, and public AI benchmarks like GDP.pdf and the Tuesday Work Index

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Pricing
Contact Sales
Contact Sales
Plans
—
—
Popularity
21 views
7.4k views
Skill Level
Advanced
Advanced
API Available
Platforms
Web
Web
Categories
⚖️ Contracts, E-Signature & Legal
🏷️ Data Labeling & Training Data
Features
Invalidity analysis across 180M+ patents in 100+ jurisdictions
Infringement analysis with element-by-element claim mapping
Freedom-to-operate analysis with feature decomposition and risk scoring
Steerable prior art search attorneys can direct, not a flat reference list
Portfolio mode analyzing thousands of patents at once
Single-patent mode for one matter at a time
Source-cited evidence with one-click jumps to highlighted passages in the original
Domain agents read full-text patents, not just titles and abstracts
Scientific literature search covering 250M+ publications
Internet Archive search back to the 1990s
Live patent index refreshed daily
Defensible first draft in about 17 minutes median runtime
Risk ranking per feature from cleared to high-risk
Zero AI training on customer data with per-tenant isolation
SAML SSO, audit logs, encryption in transit and at rest
Expert human workforce of doctors, lawyers, engineers, and writers for frontier AI data
RLHF preference data collection and human feedback for model fine-tuning and post-training
Red teaming and adversarial testing staffed with credentialed domain specialists
Off-the-shelf post-training runs built on expert evaluation data
SWE consultant network for software engineering and technical tasks
Agentic coding task sets: 1,700 tasks gave Kimi K2.7 +20.0pp on SWE-Marathon, +12.4pp on DeepSWE
GDP.pdf benchmark for real-world professional document comprehension, cited in the GPT-5.6 release
Chartography benchmark for chart reasoning: Kaplan-Meier curves, candlesticks, contour maps, Bode plots
ComplexConstraints benchmark for instruction following with mutually dependent constraints
HANDBOOK.md benchmark for long-context policy adherence against expert handbooks
Tuesday Work Index composite benchmark for real professional work capabilities
DAYJOB vertical benchmark suites for economically valuable agents in Healthcare and Finance
Riemann-bench for extreme math verification and cost-performance comparisons
EnterpriseBench and CoreCraft RL environments for training and evaluating agents
RL environments for enterprise agent tasks with Python SDK and REST API access

What 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

19 mentions across 1 sources · 10% positive — critical (averaged across 1 source)

YouTube

What users praise

  • • Purpose-built for patent attorneys, not generic LLMs. (claim)
  • • Claims 100% prior-art recall on PTAB IPR benchmarks. (claim)
  • • Source-cited evidence with one-click links to original passages. (claimed feature)
  • • Reads full-text patents, not just abstracts, reducing hallucination risk. (claimed feature)

What frustrates them

  • • Zero community reviews or independent tests to verify claims.
  • • Brand-name collision with Stila Cosmetics dominates YouTube search results.
  • • No public pricing, no free trial, hard to evaluate ROI.
  • • No user forums or community support visible.

Researched Sep 1, 2026

Surge AI

48 mentions across 3 sources · 38% positive — critical (weighted across 3 sources)

Hacker News, YouTube, Lemmy

What users praise

  • • Credentialed workforce of doctors, lawyers and engineers instead of generic crowd annotators
  • • GDP.pdf cited by OpenAI in the GPT-5.6 release with a concrete 30.7% flagship score
  • • Kimi K2.7 post-training run published measurable SWE-Marathon, DeepSWE and Terminal-Bench gains
  • • Benchmark catalog spans chart reasoning, dependent constraints, long-context policy and verticals

What frustrates them

  • • Contact-only pricing means no public rate card, no tiers, and no way to self-serve
  • • Benchmark sponsorship and independence questions raised directly in HN threads
  • • Expert-credential verification process is never explained in any community source
  • • No community data on support responsiveness, uptime, or SLAs at enterprise scale

Researched Oct 7, 2026

Who should pick which

  • Patent attorney preparing PTAB IPR
    Pick: 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 reasoning
    Pick: Surge AI

    Surge's Riemann-bench and expert-graded Antidote leaderboard are designed for challenging reasoning tasks where frontier models fail.

  • Corporate IP portfolio manager
    Pick: Stilta

    Stilta's portfolio mode can analyze thousands of patents at once for FTO and clearance checks.

  • AI lab training a new LLM with RLHF
    Pick: Surge AI

    Surge provides a curated workforce of domain experts (e.g., doctors, lawyers) for high-quality human feedback.

  • Individual inventor on a budget
    Pick: 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