Ava — conversational DMV guide
Plain-language answers and next steps for any DMV task, in any state.
Investor information
The AI front door to every DMV task in America.
25+ years of category experience, rebuilt for the AI era.
We're building an AI-native DMV platform that combines Ava, state-specific intelligence, guided workflows and services to make licensing, registration, title and ticket tasks simpler.
Raising $250K
Proposed $2.5M post-money SAFE cap
Non-binding indication of interest. Final investment terms subject to company formation and legal documentation.
The AI front door to every DMV task in America.
25+ years of category experience, rebuilt for the AI era.
Raising $250K
Proposed $2.5M post-money SAFE cap
We're building an AI-native DMV platform that combines Ava, state-specific intelligence, guided workflows and services to make licensing, registration, title and ticket tasks simpler.
Non-binding indication of interest. Final investment terms subject to company formation and legal documentation.
Why DMV.ai
One of America's most common chores is still one of its most fragmented.
Almost every adult drives, registers or renews something. The experience remains scattered across thousands of rules and offices. That is the opportunity.
50 states
Every state runs its own rules, forms, fees and timelines — and many split duties across DMVs, courts and county offices.
Agencies & courts
Licensing, titles, registration and traffic tickets often involve different agencies with different processes.
Confusing forms & deadlines
People struggle to find the right form, the right fee, the right office or provider, and the deadline that matters.
Search → AI
People start with search, and increasingly with AI assistants. Whoever answers best — with the next step built in — earns the user.
What we're building
A guide, a knowledge layer, and the workflows to finish the job.
Status labels are deliberate: we separate what's in preview from what's in development and what's planned.
50-state knowledge architecture
Structured, state-specific rules, fees, forms and offices that Ava and workflows draw from.
Guided workflows
Step-by-step licensing, title, registration and REAL ID journeys.
Traffic-ticket DIY assistance
The foundation for DMV.ai's first planned paid product.
Provider & local-services marketplace
Driving schools, tag agencies, insurers and other providers — with paid placement clearly separated from qualification.
Enterprise, dealer, fleet & API layer
Embedded DMV workflows and data for businesses.
Distribution engine
Three connected engines that compound each other.
Distribution is where many consumer AI products stall. Our plan starts with measurable paid intent and turns that learning into durable channels.
Long-tail paid search first
Buy high-intent DMV queries across search engines and route each person directly to the exact task experience — not a generic homepage.
SEO / AEO flywheel
Use real query and conversion learning to decide which pages, answers, workflows and structured knowledge deserve durable organic investment — for search engines and AI answer engines.
Social Answer Engine
AI agents find public DMV questions on social and community platforms and prepare useful, transparent answers. Clearly identified DMV.ai accounts respond only where platform rules permit; otherwise responses queue for human approval. No spam, no deceptive personas.
The flywheel
- Paid intent
- User & query data
- Better answers & workflows
- SEO / AEO
- Social distribution
- More demand
- Monetization
- ↺ reinvested into more paid intent
Business model
Free guidance earns trust. Paid services and partnerships earn revenue.
Acquisition & value layer
Free guidance from Ava
Answers every DMV question for free. It's how users find us, and why they come back.
01
Consumer paid services
Traffic-ticket support first; later Driver Support and premium workflows.
02
Marketplace & partnerships
Provider listings and clearly labeled paid placement — kept separate from qualification. Driving-school, insurance and affiliate relationships only when real.
03
Business & enterprise
Dealer, fleet and embedded DMV workflows.
04
Data, API & AI infrastructure
Later, where appropriate.
DMV.ai has no claimed revenue at this time.
The raise · working terms
Raising $250,000
Proposed $2.5M post-money SAFE cap · six-month objective
- Instrument
- Post-money SAFE (proposed)
- Valuation cap
- $2.5M post-money (proposed)
- Initial close target
- $100K+
- Target check
- $25K+
- Minimum interest option
- $10K
- Planned entity
- Delaware Public Benefit Corporation
Use of funds
Six months of founder + AI/infrastructure runway is the core. No percentage allocation has been finalized.
- Founder runway
- AI, cloud & tooling
- Product + QA
- Paid acquisition & distribution testing
- Partnerships
- Legal & company formation
The company has not yet been formed and no SAFE exists yet. All terms are proposed and subject to company formation, counsel review and final legal documents. Nothing here is an offer to sell securities.
Why Raj
The operator who built the first version of DMV.org — now rebuilding the category for AI.
Raj Lahoti — Founder & CEO
Raj built the first version of DMV.org and ran it for 16 years before exiting. He then spent the following years building and learning AI-native products and tools. He's now applying that experience to reinvent the DMV category with AI.
- Built the first version of DMV.org
- Ran it for 16 years
- Exited
- 25+ years of category experience
- Subsequent years building AI-native products and tools
- Returning to the category with an AI-native model
DMV.ai is also supported by a confidential co-founder and experienced operators building in this space. Details are shared with qualified prospective investors during diligence.
Schedule a call with RajAI-native operating model
Founder-led. AI-operated. Human-approved.
DMV.ai runs a small human team with specialist AI functions coordinated through an internal Team HQ. Ava leads the public experience.
- Step 1
Founder sets direction
Raj defines priorities and guardrails.
- Step 2
Agents research & plan
Specialist AI functions research, debate options and prepare plans.
- Step 3
Raj approves
Projects and tasks move forward only with human approval.
- Step 4
Agents execute & report
Agents carry out safe internal work and report back.
Specialist AI functions
- SEO / AEO
- Content
- Product
- Engineering
- QA
- Revenue
- Partnerships
- Support
- Operations
Six-month plan
What this round is meant to unlock.
These are milestones we are working toward — goals, not promises.
- 01Complete and QA core paid products
- 02Launch traffic-ticket monetization
- 03Turn on paid long-tail acquisition tests
- 04Build the SEO / AEO flywheel
- 05Develop the Social Answer Engine
- 06Grow provider and affiliate revenue
- 07Operationalize AI Team HQ
- 08Form the company and complete legal setup
- 09Establish repeatable revenue and unit-economics evidence
- 10Prepare for a larger seed round
How to get involved
Three simple ways to take the next step.
None of these commit capital. Any investment would require final legal documents.
Diligence
Data room
Deeper materials are shared with serious prospective investors after review. Nothing here is a public document.
- Investor overview PDFAvailable during diligence
- Pitch deckAvailable during diligence
- Product roadmapAvailable during diligence
- Financial modelAvailable during diligence
- Cap tableAvailable during diligence
- SAFE (draft)Available during diligence
- Entity documentsAvailable during diligence
- Diligence FAQAvailable during diligence
- Product screenshots & demoAvailable during diligence
Investor FAQ
Common questions
Ask Ava about DMV.ai
Questions? Ava answers from approved materials.
Ava only uses information published on this site. She can't share confidential details, make projections or give investment advice — Raj can answer anything else directly.
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