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Dono

Founded 2024 · 276 employees on LinkedIn · 5 known investors

Dono provides an AI-powered platform for property records intelligence, extracting and indexing property data from complex documents with human verification. The platform serves title companies, underwriters, and real estate professionals with end-to-end title production, report generation, and title plant management capabilities.

Also known as Dono · dono.ai

Founders & leadership

Dono was founded in 2024 by Tali Gross and Eyal Stern‏.

TGTali Gross
Tali GrossinCEO & Co-founder
ESEyal Stern‏
Eyal Stern‏inCOO & Co-Founder

Investors · 5

Also in the syndicate · 1

lool VC

Funding

SEC filings, press & company announcements

$6.5M disclosed across 1 of 3 rounds · 2024–2026

Source: company announcements and press reports — follow each round's link for the claim.

Company profile

researched Aug 2026

Dono operates a property records platform aimed at the title insurance and real estate transaction workflow. Its system uses AI agents to retrieve documents directly from county recorder, assessor and court websites, extract and index data from raw unstructured document images, apply encoded title search, exam and underwriting logic, and return outputs formatted for the customer's systems. Every file is verified by a title professional before delivery, and the company states it assumes liability for the output rather than handing data back for the customer to risk-check.

The platform is offered as three modules that can be used individually or together: title orders (end-to-end from order entry to a completed search or examined commitment, delivered into the customer's title production system), report generation (unbundling customer-supplied abstracts into finished reports or commitments with exceptions hyperlinked to source documents), and title plant services (building, indexing and maintaining searchable title plants, including modernizing legacy plants). A natural-language query interface, "Ask Dono," allows users to examine and underwrite title issues conversationally. The platform also presents an audit trail showing each name run, source searched and record found, with the reason it was included in or excluded from a report.

Business model

Dono sells software-plus-service title production capacity to title industry participants, delivering completed searches, examined commitments, reports and title plant build/maintenance through API, file exchange, email or direct platform access, integrated with customers' existing closing and title production systems.

Traction

The company reports cumulative volumes of 23,480 title orders completed, 2,186,218 records processed and 13,898 reports and commitments delivered, with average full-search turnaround of four hours, throughput of more than 1,700 records extracted and indexed per hour, costs 45% below a manual process, and 3.7x volume from the same team. It cites use by underwriters and national agencies and publishes a customer testimonial from Thomas & Webber.

Full profile — market position, technology, go-to-market, geography

Market position

Positions itself as an operating system for title production covering search, exam and reports in a single platform, differentiating from providers that deliver data without assuming accuracy or liability responsibility.

Combines automated retrieval and extraction with mandatory review by vetted title professionals, a guaranteed-accuracy claim, transparent evidence trails linking each report exception to its source document, and assumption of liability for delivered work.

Technology

AI agents perform live data collection from county recorder, assessor and court sites, pulling actual document images; AI-based extraction and indexing reads unstructured document images so that weak county indexes do not limit results; an underwriting intelligence engine encodes hundreds of industry rules and adapts to a customer's underwriting standards; outputs pass through human verification by title professionals. Data formatting and delivery supports API, file exchange and direct platform access.

Go-to-market

Direct enterprise sales via demo requests on the company website, integration with customers' existing title production and closing systems, and rapid onboarding positioned as requiring no data migration; new county coverage is stood up on request.

Title underwriters, national title agencies, title agents and real estate professionals handling search, exam, commitment and title plant work.

Geography

United States; the site states live coverage in 10 states (with a separate reference to 9 states) and expansion into new counties within 48 to 96 hours of request.

Compiled by commissioned research from 1 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Average completion time for full property searchJan 20254 hours
Cost reduction versus manual processJan 202545%
Records extracted and indexed per hourJan 20251,700 records/hour
Records processed (cumulative)Jan 20252,186,218 records
Reports and commitments delivered (cumulative)Jan 202513,898 documents
Time to stand up new county coverageJan 202548 to 96 hours
Title orders completed (cumulative)Jan 202523,480 orders
Volume increase with same teamJan 20253.7x

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Competitors · 3

by search overlap

Companies competing with Dono for the same Google search keywords, organic and paid, via search-intersection analysis.

In the news

Research sources · 1

primary sources listed

1 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Dono do?
Dono is an AI platform for title production, combining automated property record search and exam with human verification.
Who founded Dono?
Dono was founded by Tali Gross, Eyal Stern‏ in 2024.
Who are Dono's investors?
Dono's investors include Link Ventures, Lool Ventures, Alumni Ventures, at.inc/.
How much funding has Dono raised?
Dono has disclosed $6.5M raised across 1 of its 3 known rounds.