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FREE PATENT REPORT

Know what you could file on before you raise, launch or demo.

Tao AI reads your public record and the patent databases, then writes a Patentability Report for your company: the patent opportunities you could file on, how much room each one has against the closest prior art, and who is filing near you.

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  • Public information only
  • No technical detail needed
  • Reviewed by our team, in your inbox within one business day
See what is insideSoftware output, not legal advice.
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WHY FOUNDERS ASK FOR IT

Four moments when it pays to know.

BEFORE A RAISE

Diligence asks what you own.

Investors ask about IP. Walk in with your patent opportunities named, scored and ranked, and a plan for what to file first.

BEFORE A LAUNCH

Going public starts the clock.

A launch, a demo video or a paper puts your work on the public record. Know which parts are worth filing on before it goes out.

WHEN A COMPETITOR FILES

Someone is filing near you.

See which companies file in your technology classes, how many applications a year, and who started in the last 18 months.

ON A BUDGET

Many ideas, one filing.

Every candidate gets a score and its closest references, so you can choose what to file first with the budget you have.

INSIDE THE REPORT

The whole report, before you ask for it.

Written for a CEO to read in ten minutes and for an engineer to check line by line. Below is an example with every section your report carries.

Example reportIllustrative example. Your report is built from your company's public record.

Tao IP

Patentability Report: a warehouse robotics startup

Prepared for the founder and CEO Illustrative example

58out of 100

Report score

A good candidate

The strongest candidate's composite score: how much of it is still open against the closest references found. Higher means more room.

0 early20 worth a disclosure40 a good candidate60 a strong candidate80 a priority

By candidate

  • Candidate 158%
  • Candidate 234%
  • Candidate 332%

Summary

Three Candidates were evaluated:

  • Candidate 1 (grasp selection for mixed totes) scores highest at 58%. The closest patent scores grasp points for one fixed arm. Choosing among suction, pinch and push for each item, and changing the approach after a miss, is only partly shown.
  • Candidate 2 (slotting from pick history) scores 34%. Slotting art is crowded, and claims on the scheduling logic alone take a weaker §101 position than claims tied to the robots.
  • Candidate 3 (damage checks on outbound cartons) scores 32%. A parcel carrier's patent already shows camera inspection at the dock door.
DirectionClosest referenceNovelty*Eligibility**Composite
1. Grasp selection and recovery for mixed totesUS patent, 2019, a large robotics companyUS patent, 2019, a large robotics company0.680.8558%
2. Slotting and robot routing from pick historyUS application, 2021, a logistics software companyUS application, 2021, a logistics software company0.550.6234%
3. Damage checks on outbound cartonsUS patent, 2017, a parcel carrierUS patent, 2017, a parcel carrier0.400.8032%

*Novelty is an estimate of how likely a claim of commercially useful scope is to survive §102/§103 analysis over the references found.

**Eligibility is an estimate of how likely a claim is to survive §101 analysis.

Public record

The company builds a picking cell for mixed totes: a mobile base, a gripper with suction and pinch, and software that plans each pick. It has posted a demo video and two customer case studies, and a founder spoke about grasp recovery at a robotics conference this spring.

What the company already holds

One published US application from 2023 on tote presentation hardware, with both founders as named inventors. We treat it as the founders' own work and the starting point a new filing has to go beyond, never as a competitor's.

Why file now

  • The demo video went public in June. Anything shown in public before a filing counts as prior art against that filing.
  • A large ecommerce retailer published two applications on mixed tote picking this year, close to Candidate 1.

Disclosure

DirectionCandidate inventionFeatures compared
1Choosing suction, pinch or push for each item in a mixed tote, with recovery after a failed pickF1.1 Grasp mode scoring for each itemF1.2 A push that separates items before a pickF1.3 Recovery that changes the approach after a missF1.4 Learning from pick outcomes across sites
2Slotting inventory and routing robots from the same pick historyF2.1 Slot moves ranked by pick frequencyF2.2 Robot routes planned against the new slotsF2.3 Moves timed to idle robots
3Checking outbound cartons for damage before they leave the dockF3.1 Images from the pick cell reused at packingF3.2 A damage score for each cartonF3.3 A hold and repack rule

Top 10 closest references

Ranked by how many features across the candidates a reference shows. Each reference links to the public record.

Relevance: features each reference shows, out of 10 comparedShownPartly shown
  1. 1US patent, 2019, a large robotics company5 of 10
  2. 2The company's own application, 20234 of 10
  3. 3US application, 2021, a logistics software company3 of 10
  4. 4US patent, 2017, a parcel carrier3 of 10
  5. 5US application, 2024, a large ecommerce retailer3 of 10
  6. 6US patent, 2016, a warehouse automation company2 of 10
RankReferenceOwnerPriorityWhat it showsDirections
1US patent: grasp planning for bins of mixed itemsA large robotics company2019Scores grasp points for suction and pinch from a depth image, then retries at the next best point. A fixed arm at a station, and it never pushes items apart before a pick.1, 3
2US application: tote presentation for a picking robotThe company (own filing)2023The tote tilt and camera mount the cell uses today, with both founders as named inventors. The starting point new filings have to go beyond.1
3US application: slotting from order historyA logistics software company2021Moves fast selling items closer to the pick stations from order history. Planning robot routes against the new slots is not described.2

Ranks 4 to 10 follow in your report, each linked to the public record.

Candidate 1: grasp selection for mixed totes (58%)

The closest patent scores grasp points for one fixed arm and retries at the next best point. The company's own application covers the tote hardware. What remains open is scoring suction, pinch and push for each item on a mobile base, pushing items apart before a pick, and changing the approach after a miss.

Shown by the closest reference: yes, partly or no. No leaves the most room.YesPartlyNo

FeatureClosest referenceShown?What the reference shows / gap
F1.1 Grasp mode scoring for each item: suction, pinch or push, from shape and surface cuesUS patent, 2019PartlyScores grasp points for suction and pinch. Push as a mode, chosen item by item, is not shown.
F1.2 A push that separates items before a pickUS application, 2024PartlyShakes the tote to separate items. A planned push by the gripper is not described.
F1.3 Recovery that changes the approach heading and gripper after a missUS patent, 2019NoRetries at the next best point with the same approach. Changing heading or gripper is not shown.
F1.4 Learning from pick outcomes across sitesUS patent, 2016YesLogs pick outcomes from many cells and updates one shared grasp model.

What would raise the score: Describe the scoring function and its inputs, what changes after a miss, and the measured gain in first pick success. Claim the mode set this gripper actually has.

Your market on the patent record

6 companies filed 214 US applications in the company's technology classes since 2024. We found 1 from the company.

Who files in your classes

Company202420252026Total
A large ecommerce retailer31382796
A large robotics company18161246
A warehouse automation company9121031
A robot gripper maker68721
A parcel carrier45312
A logistics software startupNew0268
This company0101

New entrants

Companies that started filing in these classes in the last 18 months.

  • A logistics software startup, 8 recent publications
  • A university spinout in robotic grasping, 3 recent publications

Tao IP Watch follows these companies every week.

Scope and method

Tao AI read what the company has published and its own filings, then searched published patents and applications for each candidate and read the closest ones in full. Nothing that is not public was used.

Sources

  1. The company's website, product page and demo video
  2. USPTO records for the company and its founders
  3. The ten closest references, read in full
  4. USPTO application counts in the company's technology classes

Prepared by Tao AI at Tao IP from public information. Software output, not legal advice.

Yours is built from your own public record, reviewed by our team and in your inbox within one business day.

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How it works.

  1. 01

    Send your website

    Your company website and a work email. Nothing technical and nothing confidential.

  2. 02

    Tao AI reads the record

    Tao AI reads your public record and the patent databases, then compares each candidate with the closest references, feature by feature.

  3. 03

    Our team reviews it

    Our team reviews every report and emails it to you within one business day, as a link you can forward or print.

Questions founders ask.

What information do you use?

Only what is public: your website, launches, press, talks and papers, and the published patent record, including your own filings. We do not ask for technical detail, and nothing confidential is needed.

Is this legal advice?

No. The report is software output, not legal advice, and it does not create an attorney client relationship. Our team reviews it before it reaches you, and your attorney is one call away when you want an opinion.

What does it cost?

The report is free. When you want more depth, the next step is a prior art search report by your attorney: a full search of US and worldwide patents, published applications and technical literature, written up with an overlap map, for $300.

Who sees my request?

Only our team. We use your details to prepare and send your report, as our privacy policy describes, and we never use your material to train models.

Ready to start now?

Tao AI writes your invention disclosure in the portal, free and in about 10 minutes. Or talk it through with our team.