Our work / InventDraft

AI Patent Drawings, Patent Search Services, and Market Research in One Platform

AI PLATFORM ARCHITECTURE
FULL-STACK SAAS DEVELOPMENT
PATENT DRAWING ENGINE
RESEARCH DATA PIPELINES
CONTEXT-AWARE
DRAFTING SYSTEM

Written by Ashok Chintagunta, MS Computer Science, Louisiana Tech University

CTO & Software Engineer, AI and Automation

Updated August 30, 2026

Traditional patent preparation is fragmented: a search vendor, a drawings vendor, a market research consultant and a drafter, each with their own turnaround and their own file formats.

InventDraft began as our internal execution system for exactly that problem and became a public platform — prior art search, patent landscape analysis, patent drawings, annotation and draft specification in one AI-powered workspace, with professional review preserved at the end.

Project at a glance

Product: InventDraft — AI invention preparation workspace
Origin: Built as an internal execution system inside LA NPDT, then released as a standalone platform
Users: Inventors, founders, patent professionals and R&D teams
Capabilities: Prior art search, patent landscape analysis, market research, patent drawings, annotation and drafting
Drawing inputs: Plain text, photos or sketches, and 3D models in STL, OBJ or STEP
Boundary: Outputs are preparatory drafts for professional review; the platform does not provide legal advice or replace attorneys

The client

InventDraft began as an internal execution system inside LA New Product Development Team. We built it to streamline our own invention preparation process, where research, patent drawings, drafting, and market research were traditionally fragmented across vendors and tools.

Over time, the system evolved into a comprehensive AI-powered invention workspace. What started as a productivity engine for our internal use matured into a standalone platform available to inventors, founders, patent professionals, and R&D teams.

InventDraft now functions as a unified environment for patent drawings, patent search services, patent landscape analysis, and market research for product development.

The challenge

Invention preparation was fragmented and slow. Prior art searching, patent landscape analysis, patent illustration, market validation and draft writing each lived with a different vendor, each with its own turnaround time and cost. Inventors routinely spent weeks and thousands of dollars before they knew whether an idea was novel or commercially viable, and every revision restarted the cycle.

Our solution

Patent search and landscape analysis, integrated

InventDraft replaces traditional patent search services with AI-powered prior art research embedded directly into the invention workflow.

Users describe their invention in plain language. The platform searches patents, academic literature, non-patent sources, and product listings. Instead of static summaries, the system produces structured patent landscape analysis including:

Relevance-ranked prior art
Citation networks
Semantic clustering
Feature comparison matrices
Risk scoring indicators
Exportable patent analysis reports

Patent landscape analysis becomes interactive, iterative, and immediately shareable. By integrating patent search services into the platform itself, InventDraft reduces cost, eliminates vendor coordination, and accelerates early-stage clarity.

Prior art results ranked by relevance inside the InventDraft patent search view

Market research built into the same workflow

Technical novelty without market viability is incomplete. InventDraft integrates market research for product development alongside patent research.

The platform aggregates data across major e-commerce sources, search engines, forums, academic publications, and commercial databases to produce:

Market viability scoring
Competitive landscape summaries
Pricing benchmarks
Demand indicators
SWOT analysis
Voice-of-customer insights

Instead of outsourcing market research for new product development, users can evaluate product viability inside the same system that generates patent drawings and drafts.

This unified structure aligns technical feasibility with commercial potential in a single decision environment.

Patent drawings generated instantly

Patent drawings remain one of the most time-consuming parts of patent preparation. InventDraft eliminates that delay.

Users can generate patent drawings and drawings for patent from:

Plain-text descriptions
Uploaded photos or sketches
3D models in STL, OBJ, or STEP format

The platform automatically produces standard views, cross-sections, exploded views, and process diagrams in black-and-white patent style.

Revisions are immediate. Styles can be regenerated without delay. This removes the traditional cost and turnaround barrier associated with patent drawings.

AI-generated black-and-white patent drawing with numbered reference callouts

Structured annotation and context-aware descriptions

InventDraft integrates drawing annotation and drafting tools within the same workspace.

Users can:

Add reference numerals and leader lines
Generate AI-powered component descriptions
Batch create figure descriptions
Convert raster drawings to vector (SVG)
Maintain consistent terminology across drawings and text

Descriptions adapt to the invention brief and project context, ensuring consistency across the entire draft.

This eliminates the disconnect between patent drawings and written descriptions.

Full draft specification and claims preparation

InventDraft generates structured patent application drafts including:

Title and abstract
Background and summary
Detailed description
Claims draft
Claims worksheet for refinement

All outputs are clearly framed as preparatory drafts intended for professional review. The platform does not provide legal advice and does not replace attorneys. Instead, it prepares organized, structured materials that significantly reduce drafting time and coordination overhead.

By connecting patent search services, patent landscape analysis, patent drawings, and drafting into one environment, InventDraft creates a cohesive invention preparation workflow.

Speed as the defining advantage

InventDraft compresses what traditionally takes weeks into minutes.

Instead of waiting for patent search services, patent drawings vendors, and market research consultants, users generate structured outputs instantly and refine them without penalty.

This compression of time enables:

Faster iteration
Lower early-stage cost
Improved decision-making
Efficient collaboration with attorneys and teams

Speed changes how and who can innovate.

A demonstration of platform-building capability

InventDraft is a live demonstration of LA New Product Development Team’s ability to architect, build, and scale complex AI-enabled SaaS platforms.

Internally, we designed and implemented:

Full-stack SaaS architecture
AI orchestration across research, drawings, and drafting
Patent drawing generation engines
Patent landscape analysis pipelines
Market research aggregation systems
Structured drafting modules
Secure collaboration and export systems
Credit-based monetization model

InventDraft showcases our ability to build not only physical systems and SBIR technologies, but also high-performance AI platforms that integrate multiple domains into one cohesive product.

The result

InventDraft reduces financial and logistical barriers associated with patent preparation and market validation.

By unifying patent search services, patent landscape analysis, patent drawings, drawings for patent, and market research for product development into one platform, it makes structured invention preparation faster, more accessible, and more iterative.

For LA NPDT, InventDraft represents both a product and proof of capability: the ability to design and launch AI-powered systems that integrate research, illustration, drafting, and workflow automation at scale.

Building platforms that accelerate innovation

InventDraft reflects LA New Product Development Team’s expansion into AI-driven software systems alongside hardware, SBIR programs, and complex engineering platforms.

If you are building a SaaS platform, AI workflow engine, or integrated research tool and need a team capable of architecting and productizing it end-to-end, LA NPDT can help.

How invention preparation works when the steps share one workspace

We built the system we needed for our own invention work, then turned it into a platform. Each step below replaces a vendor handoff.

1. Search prior art from a plain-language description
The user describes the invention in ordinary language and the platform searches patents, academic literature, non-patent sources and product listings — no classification codes or Boolean syntax required to get a first read on novelty.
2. Read the landscape, not a static report
Results come back as structured patent landscape analysis: relevance-ranked prior art, citation networks, semantic clustering, feature comparison matrices, risk scoring indicators and exportable reports — interactive and immediately shareable.
3. Test the market in the same session
Technical novelty without commercial viability is incomplete. The platform aggregates e-commerce, search, forum, academic and commercial sources into market viability scoring, competitive summaries, pricing benchmarks, demand indicators, SWOT and voice-of-customer insight.
4. Generate drawings from whatever you have
Patent drawings are produced from plain-text descriptions, uploaded photos or sketches, or 3D models in STL, OBJ or STEP — as standard views, cross-sections, exploded views and process diagrams in black-and-white patent style, with immediate revisions.
5. Annotate and describe without losing consistency
Reference numerals and leader lines, AI-generated component descriptions, batch figure descriptions, raster-to-vector (SVG) conversion, and consistent terminology across drawings and text — removing the classic disconnect between figures and specification.
6. Assemble a draft, then hand it to a professional
The platform prepares a structured draft — title, abstract, background, summary, detailed description, claims draft and a claims worksheet. These are explicitly preparatory materials for professional review; the platform does not give legal advice or replace attorneys.

Fragmented preparation vs. one workspace

Step	Traditional route	InventDraft
Prior art search	Search vendor, days to weeks	Plain-language query, ranked results in minutes
Landscape analysis	Static PDF summary	Interactive clustering, citation networks, risk scoring
Market research	Separate consultant	Viability scoring and benchmarks in the same session
Patent drawings	Draftsman per revision round	Generated from text, photos or CAD, revised instantly
Draft specification	Starts from scratch	Structured draft prepared for attorney review

InventDraft platform Invention idea analyzer

Questions about this project

Straight answers from the engineers who ran the build. Have a different question? Ask us directly.

Talk to an engineer

Can AI replace a patent attorney?

No, and InventDraft is explicitly built not to. It compresses the preparation work — search, landscape analysis, drawings, structured drafts — so that the attorney's time goes to strategy and claim quality rather than to assembling materials.

What formats can patent drawings be generated from?

Plain-text descriptions, uploaded photos or sketches, and 3D models in STL, OBJ or STEP. Output covers standard views, cross-sections, exploded views and process diagrams in black-and-white patent style, and styles can be regenerated without waiting on a draftsman.

Why combine market research with prior art search?

Because they answer two halves of one decision. An invention that is novel but has no demand, and one that sells but is blocked by prior art, both fail — and finding that out weeks apart, from two vendors, wastes the time that mattered.

Why did LA NPDT build its own platform?

We were running the fragmented process ourselves on client inventions and paying for the coordination overhead. Building the workspace we needed made our own invention preparation faster, and it turned out to be exactly what inventors and R&D teams were missing too.

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Project at a glance

Patent search and landscape analysis, integrated

Market research built into the same workflow

Patent drawings generated instantly

Structured annotation and context-aware descriptions

Full draft specification and claims preparation

Speed as the defining advantage

A demonstration of platform-building capability

Building platforms that accelerate innovation

How invention preparation works when the steps share one workspace

1. Search prior art from a plain-language description

2. Read the landscape, not a static report

3. Test the market in the same session

4. Generate drawings from whatever you have

5. Annotate and describe without losing consistency

6. Assemble a draft, then hand it to a professional

Questions about this project

Stainless Steel Lunch Box: CAD Design and Rendering

Mojo Outdoors Duck Decoy: Outdoor Gear Design

Tuna Press Can Strainer: Food Product Development

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