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End-to-end patent filing, built for startups that move fast.

patentext — strategy
All Concepts Ready to File Monitoring
▼ Priority ▼ Source ⟳ Updated 2m ago
Concepts Identified
24
+3 this week
Ready to File
6
+1 new
Avg. Novelty Score
78%
— stable
Active Filings
3
in progress
ConceptTech MaturityPrior Art RiskBusiness ValueStatus
Predictive cache invalidation High Low 9.2 Ready to File
Adaptive ML pipeline routing High Medium 8.7 Under Review
Context-aware API throttling Medium Low 7.4 Ready to File
Distributed graph consensus Early High 6.8 Monitoring
Inside Patentext

Built for speed without compromise.

How do we file in days for a fraction of the cost while others take months? Here's what's under the hood.

01
Patentext Platform

Capture ideas from your existing tools

Patentext works with your document management system and messaging apps, including Slack, Teams, Discord, and Google Chat, to extract potentially patentable ideas in real time, so your patent strategy never falls behind your innovation.

02
Patentext Platform

Evaluate and prioritize every concept

A synthesized, easy-to-understand view of current and future applications, with automatic technical maturity, prior art, and business relevance evaluation for every identified concept.

03
Patentext Platform

Draft applications with AI assistance

When you're ready to move forward with a patent application, purpose-built AI agents assist with disclosure and drafting, handling the heavy lifting so you can focus on building.

04
Patentext Services

Reviewed and filed by a registered patent agent

A registered patent agent at Patentext Services makes the higher-level strategic decisions and ensures legal and technical accuracy — reviewing every claim and reference, then filing with the USPTO.

05
Patentext Platform

Track your entire portfolio

Always know where things stand. Track every application from filing through prosecution with a visual timeline that keeps your entire team in the loop.

patentext — integrations
Channels
# general
# design
# engineering 2
# product
# research
Apps
Patentext
# engineering
AR
Anika Rao10:42 AM
got the new caching layer working — we're using a predictive invalidation approach based on user behavior patterns instead of TTL. reduced p99 latency by 68%
JK
James Kim10:44 AM
wait, that's a really novel approach. the behavior-pattern prediction for cache invalidation — is anyone else doing this?
Patentext10:44 AM
I noticed a potentially patentable concept in this conversation.
◆ Patentable Concept Detected
ConceptPredictive cache invalidation via user behavior modeling
Novelty Confidence 82%
Source#engineering — 10:42 AM
Add to StrategyDismiss
patentext — strategy
All Concepts Ready to File Monitoring
▼ Priority ▼ Source ⟳ Updated 2m ago
Concepts Identified
24
+3 this week
Ready to File
6
+1 new
Avg. Novelty Score
78%
— stable
Active Filings
3
in progress
ConceptTech MaturityPrior Art RiskBusiness ValueStatus
Predictive cache invalidationHighLow9.2Ready to File
Adaptive ML pipeline routingHighMedium8.7Under Review
Context-aware API throttlingMediumLow7.4Ready to File
Distributed graph consensusEarlyHigh6.8Monitoring
patentext — disclosure agent
Disclosure Progress
Business Context
completed
Known Prior Art
14 refs reviewed
3
Technical Disclosure
in progress
4
Drafting
pending
5
Inventor Review
pending
6
File with USPTO
pending
D
Disclosure Agent Active
I've analyzed the predictive cache invalidation concept and 14 prior art references. I've identified 3 novel aspects that differentiate your approach — let me draft the technical disclosure.
Q: The behavior prediction model — does it use real-time session data, historical patterns, or both?
Both — we build a baseline from historical patterns, then adjust in real-time based on current session signals.
Got it. Here's the concept model:
Generated — Concept Subgraph
User Behavior Signals → Session Analyzer → Prediction Engine → Staleness Score
Historical Access Logs → Pattern Modeler → Prediction Engine → Invalidation Signal
Refine this section, or ask a question...
patentext — agent review
Predictive Cache Invalidation — Claims Draft
Under Review
Claim 1 (Independent)
A computer-implemented method for predictive cache invalidation in a distributed computing environment, comprising: (a) maintaining a historical access pattern model derived from aggregate user interaction data across a plurality of cache entries; (b) monitoring real-time behavioral signals from an active user session to generate a session-specific prediction vector; (c) combining the models to compute a staleness probability score for each cache entry; (d) proactively invalidating entries whose score exceeds a dynamically adjusted threshold.
SL
Sarah Levine
Registered Patent Agent · 12 yrs
Re: Claim 1(a) — "historical access pattern model"
Suggest narrowing to specify the model type. "Aggregate" is broad — citing the ML approach strengthens differentiation from US10,234,567.
AcceptModify
Re: Claim 1(c) — "staleness probability score"
Strong novel language. Recommend adding a dependent claim for the threshold adjustment mechanism.
AcceptModify
Review Checklist
Prior art differentiation verified
Claim scope appropriate
§101 eligibility confirmed
Dependent claims complete
Drawings specification finalized
patentext — portfolio
Patent Portfolio — Acme Labs
Timeline List Analytics
JanFebMarAprMayJunJulAug
Predictive Cache Invalidation
PTX-2025-007 · Provisional
Drafted
Reviewed
Filed ✓
Pending at USPTO
Adaptive ML Pipeline Routing
PTX-2025-006 · Non-Provisional
Filed
Pending at USPTO
1st action expected
Context-Aware API Throttling
PTX-2025-008 · Provisional
Drafted
Reviewed
Filed ✓
Pending at USPTO
Real-Time Anomaly Clustering
PTX-2024-003 · Non-Provisional
Filed
Pending
Office action
Responded
2nd action expected
Decentralized Auth Protocol
PTX-2024-001 · Granted
US 12,345,678 — Granted ✓
Drafting Under Review Filed Pending Granted
Why Switch

Traditional firms vs Patentext services

Traditional Firms
Patentext
Cost
Patent costs are unpredictable, opaque, and always higher than expected
Transparent pricing with cost projections you can plan around
Process
The process is convoluted + your attorney isn't always the best guide through it
A centralized dashboard and AI agents that know your portfolio keep next steps clear
Strategy
Patent strategy feels intangible and falls behind the pace of your innovation
Visual strategy maps you can actually understand, kept current by AI as your tech evolves
Time
Coordinating calls, long lead times, and endless review cycles drain momentum
AI-powered async collaboration between your team and a dedicated patent agent
I've been genuinely impressed with Patentext. The system's ability to form a coherent, structured understanding of an invention from imperfect source material stands out.
Michael Faibisch
Innovation First IP
Patentext made our first patent filing genuinely easy. The resulting draft was sharp enough that our engineer reviewed it and signed off with only minor comments. What we'd planned for months took weeks.
Ross Berger
Haven Sauna

How Patentext's pricing works

Starts at $30/month
Platform
Patentext, Inc.

Strategy, prior art search, portfolio tracking, invention disclosures, team collaboration.

Flat fee pricing
Services
Patentext Services

Flat fee per application for provisional, non-provisional, PCT, continuations, and more.

AI-assisted strategy and drafting.
Human-in-the-loop oversight.
Simple pricing. Days, not months.

The Team

Built by people who
know patents.

Alex Flake

Alex Flake

CEO

300+ patents filed. Owns a patent agency. Harvey Mudd.

Marcus Virginia

Marcus Virginia

CTO

2x technical founder. University of Minnesota.

Alex Wilson

Alex Wilson

Founding Engineer

AI researcher. Caltech.

Robert Sachs

Robert Sachs

Strategic Advisor

30+ years in patent law. Yale Law School. Ex-big law.

Security & Compliance

Your inventions stay yours

Enterprise-grade security built in from day one.

Certified compliant

SOC 2 Type I & II and ISO/IEC 27001:2022 certified, and built to align with GDPR and CCPA from the ground up.

No data used for training

We never use your uploads, drafts, or outputs to train any AI models. Your invention disclosures are never shared or repurposed.

Zero data retention

We maintain strict Zero Data Retention policies with all model providers. No inputs, outputs, or metadata are stored or reviewed by third parties.

End-to-end encryption

All data is encrypted in transit using TLS 1.3 and at rest with block-level AES-XTS encryption.

FAQ

Common questions

What is Patentext?

Patentext pairs an AI-powered software platform (built by Patentext, Inc.) with a registered patent agency (Patentext Services). The platform helps startups with invention mining, patent strategy, and application drafting, while registered patent agents at Patentext Services review and file applications with the USPTO.

How much does it cost to patent an idea?

It depends on the path you take. Government filing fees are only part of the cost; professional preparation is usually the expensive piece. Patentext uses AI-assisted drafting and registered patent agent review to bring the total cost down with more predictable flat-rate pricing.

What's the difference between a provisional and non-provisional patent application?

A provisional is a temporary placeholder filing that establishes a priority date for 12 months. A non-provisional application is examined by the USPTO and can become an enforceable patent if approved.

How long does it take for the USPTO to grant a patent?

A provisional application can be filed in days to weeks. A full non-provisional application often takes 18 to 24 months from filing to grant, and complex technologies can take longer. Patent pending status begins as soon as the application is filed.

Can AI write a good patent application?

Yes, when paired with expert review. AI can help with the labor-intensive parts of drafting, while a registered patent agent reviews the application for strategy, accuracy, and USPTO readiness.

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