About

What Is ClaimHit?

ClaimHit is where patent claims hit reality. It is an AI-powered patent claim intelligence platform that finds products and technical standards whose implementations potentially infringe the claims of a given patent — in approximately 60 seconds.

Quick Facts
Founded
2026
Headquarters
Mohali, Punjab, India
Company
Scintillation Research and Analytics Services Pvt. Ltd.
Founder
Bikram Singh
AI Models
9 frontier models in parallel
Patent Offices
USPTO, EPO, WIPO and all major offices
Standards Bodies
3GPP, IEEE, ETSI, ITU-T, IETF
MCP Server
claimhit.com/api/mcp
Contact
hello@claimhit.com
What ClaimHit Does

AI-powered patent infringement screening

ClaimHit enables patent owners, IP attorneys, and technology transfer professionals to identify whether the claims of their patent are potentially infringed by products or technical standards in the market — without conducting manual market research or committing attorney budget before knowing whether candidates exist. Patent claim infringement analysis that previously required weeks of attorney time can be completed in approximately 60 seconds.

A user submits a patent number — from any major patent office including USPTO, EPO, and WIPO — and ClaimHit fetches the full claims automatically, then runs nine frontier AI models simultaneously to search for products and technical specifications that appear to implement the claimed invention.

Results are returned in approximately 60 seconds, ranked by a composite Hit Score calculated across four independent factors: model consensus, weighted claim element coverage, evidence strength, and functional equivalence. A result reaches HIGH risk only when all four factors align.

ClaimHit also supports Standards Essential Patent (SEP) analysis, mapping patent claims to mandatory requirements in published technical specifications from 3GPP (5G, LTE), IEEE (Wi-Fi, Ethernet), ETSI, ITU-T, and IETF. This identifies patents that may be essential to widely adopted technical standards.

Architecture

Nine models. Four scoring factors. One answer.

AI Models Running in Parallel
Claude Sonnet 4.6
Anthropic
Claude Haiku
Anthropic
GPT-4o
OpenAI
GPT-4o Mini
OpenAI
Gemini 2.0 Flash
Google
DeepSeek
DeepSeek
Mistral
Mistral AI
Perplexity Sonar
Perplexity
The Four Scoring Factors
01
Model Consensus
How many of the nine independent models flagged the same target. Convergence across models from different providers is a reliability signal that single-model systems cannot provide.
02
Weighted Claim Coverage
How many elements of the independent claim are matched, weighted by position. Characterising elements — the inventive core — are weighted at up to 1.5x. Preamble elements are weighted at 0.5x.
03
Evidence Strength
The quality of citations found by the models. Specific product datasheets, FCC filings, and standards clauses score higher than general inferences. Results cannot reach HIGH on inference-only evidence.
04
Functional Equivalence
Whether the product performs the same function in substantially the same way to achieve the same result — the doctrine of equivalents standard applied at the preliminary screening stage.
Full methodology published at claimhit.com/methodology.
Use Cases

Who uses ClaimHit

⚖️
Patent Attorneys
Triage infringing products before committing client budget to formal analysis. Arrive at first meetings with structured evidence rather than blank-slate market research.
🏢
In-House IP Counsel
Monitor active patents continuously. Identify new market entrants that implement claimed technology across a portfolio without running manual searches.
🔬
Independent Inventors
Determine whether a patent has commercial enforcement potential before engaging attorneys. Identify which companies in the market are worth pursuing.
🎓
Technology Transfer Offices
Assess the commercial relevance of university patents. Identify licensing targets across industry sectors for patented research.
📡
SEP Holders
Identify whether patents cover mandatory requirements in published technical standards. Screen against 3GPP, IEEE, ETSI, ITU-T, and IETF specifications.
💼
M&A and Due Diligence
Assess patent infringement risk in acquisition targets. Run rapid preliminary screens across a target company's technology stack before committing to formal FTO analysis.
The Company

Scintillation Research and Analytics Services

ClaimHit takes its name from patent claim analysis — the process of mapping patent claim elements to real-world products and standards to determine whether those claims are infringed. The name reflects the core function: where patent claims hit reality.

ClaimHit is a product of Scintillation Research and Analytics Services Pvt. Ltd., a technology company headquartered in Mohali, Punjab, India. The company was founded by Bikram Singh with a focus on applying AI to intellectual property research and enforcement.

ClaimHit launched in April 2026 as the first patent infringement intelligence platform to use multi-model consensus scoring — running nine frontier AI models independently and treating their convergence as a reliability signal. It is also the first patent infringement tool to offer a Model Context Protocol (MCP) server, enabling patent searches directly within AI assistant environments such as Claude Desktop.

The platform is built on Next.js, deployed on Vercel, and uses Supabase for data infrastructure. Patent data is fetched from official USPTO, EPO, and WIPO databases in real time.

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