Hard-to-obtain data intelligence
Not commodity data. Not manual research. Evidence-backed intelligence built from the hardest commercial signals to capture.
DAISORO starts with UAE vehicle and motor-insurance intelligence: VIN, trim, feature, value, quote, coverage, pricing, claims, product, and distribution signals structured for enterprise data/AI workflows.
200+
manufacturers
13
world regions
15M+
real VINs decoded, tested, proven
17
VIN positions parsed and checksum-validated
Insurance wedge
The first commercial wedge is vehicle intelligence for motor insurance because underwriting, pricing, claims, product, distribution, and AI teams need source-backed vehicle facts and market signals that are hard to obtain.
Exact vehicle identity, trim confidence, ADAS, EV/battery, powertrain, GCC-vs-import confidence, value context, and source-backed evidence.
View intelligence productMachine-readable attributes for underwriting, pricing, claims, product, and data/AI workflows, with certainty labels and evidence references.
View intelligence productMulti-carrier quote matrix design, coverage and exclusions ontology, comparison surfaces, and aggregator-vs-carrier spread intelligence.
View intelligence productWhy Daisoro is different
DAISORO builds data products around evidence, certainty, and enterprise usability, not raw collection volume or unsupported market-completeness claims.
DAISORO focuses on fragmented commercial signals that ordinary feeds, screenshots, and manual research cannot reliably turn into AI-ready records.
Records are built with source context, version logic, and certainty labels so enterprise buyers can inspect where intelligence came from.
The output is structured for data/AI workflows: schemas, fields, evidence references, and delivery formats that fit enterprise decision systems.
Vehicle identity spine
9-field
A normalized vehicle identity spine designed to support matching, enrichment, evidence review, and downstream AI workflows.
UAE trim intelligence
446
source-traced fields per UAE trim
24
feature groups
Designed for evidence-backed review across vehicle identity, feature, risk, value, and product decision workflows.
Enterprise outputs
DAISORO turns hard-to-obtain vehicle and insurance signals into reusable intelligence for underwriting, pricing, claims, product, distribution, analytics, and data/AI teams.
Resolve trim, feature, value, import, and risk-relevant vehicle context before quoting, renewal, pricing, and portfolio analysis.
Understand coverage, exclusions, journey evidence, channel differences, and market-change signals across target vehicles and personas.
Use evidence-backed vehicle attributes and depreciation context as inputs for triage, severity analysis, modelling, and AI workflows.
Convert hard-to-obtain market reality into reusable datasets, benchmarks, and cloud-ready intelligence packages.
Intelligence catalogue preview
Financial Services & Insurance is visually prioritized, with wider telecom, retail/e-commerce, automotive, and broader financial-services families kept visible as next-wave and roadmap domains.
Founder / newsroom credibility
DAISORO is founder-led and commercially focused: hard-to-obtain signals, evidence-backed records, and machine-readable intelligence for enterprise buyers who cannot wait for manual research cycles.
The public wedge is UAE vehicle and motor-insurance intelligence. The broader roadmap remains hard-to-obtain commercial intelligence across finance, automotive, telecom, retail, and other enterprise domains.
Company updates
Announcements, milestones, and media notes from the DAISORO team.
Ruta Mecejiene reflects on the realities of building a company while raising two young children — and why systems, boundaries, and honest trade-offs matter more than the myth of doing it all.
By Ruta Mecejiene
Read perspective
Ruta Mecejiene shares why Daisoro is building hard-to-obtain, AI-ready datasets and why UAE Vehicle Intelligence for motor insurance is the company’s first commercial wedge.
Read on LinkedInRequest sample output
Start with a vehicle-insurance sample, a VIN benchmark, a quote-market question, or a scoped data-product conversation.
