About DAIOTA
Building the
Intelligence Layer
for Connected Commercial Vehicles
DAIOTA turns vehicle, driver and operational data into useful intelligence for fleet operations, safety, sustainability and human-led insurance review.
AI-Powered Vehicle Data & Intelligence Platform
Fleet Intelligence · Insurance Intelligence · AI
Vehicle Intelligence Core
Why DAIOTA exists
Vehicles Generate Data.
The Challenge Is Turning It Into Decisions.
Connected vehicles produce a wealth of signals. But more data does not automatically give a fleet manager, insurer or operations team a clearer answer.
DAIOTA was created to close that gap.
Fragmented sources
Useful information is spread across vehicles, telemetry providers and operational systems.
Uneven quality
Gaps, inconsistent signals and uncertain estimates can obscure the picture.
Missing context
A metric needs time, exposure and vehicle conditions to become meaningful.
Too much interpretation
Teams need reviewable evidence that helps them decide what matters next.
What we are building
Vehicle Data. Intelligence. Decisions.
An intelligence foundation that connects available vehicle information to the people who can put it to work.
01 / FOUNDATION
Vehicle Data
Designed around diverse data sources, rather than a single device or vendor.
02 / INTELLIGENCE
DAIOTA Intelligence Layer
AI-assisted signal checks and governed ML estimates help prepare trustworthy inputs. Analytics then add context for review.
03 / APPLICATION
Better Decisions
Clearer evidence for fleet and insurance teams, with people in control.
Source availability and integration scope vary by vehicle, provider and access. Predictive intelligence and further automation belong to the development direction described below.
Our intelligence philosophy
Intelligence Starts With Trustworthy Data
Data Before AI
Useful AI begins with reliable inputs and a clear view of data quality.
Context Before Conclusions
Time, exposure, vehicle state and operating conditions give each signal meaning.
Evidence Before Decisions
People should be able to trace, understand and review the basis of an insight.
Intelligence Before Automation
Understand what happened and why before deciding how a workflow should respond.
Built for two worlds
One Intelligence Platform.
Two Connected Worlds.
Different decisions. A shared vehicle intelligence foundation.
Fleet Intelligence
For the people responsible for the everyday reality of commercial vehicle operations.
- Vehicle activity
- Driver behavior review
- Safety context
- Maintenance context
- Fuel visibility
- Tailpipe CO₂
Insurance Intelligence
For insurers, brokers and fleet insurance teams who need evidence they can review.
- Behavior evidence
- Exposure context
- Review confidence
- Reason codes
- Human-led review
- Traceable outputs
Shared data quality. Shared context. Traceable evidence.
Insurance behavior review is rules-based decision support. Predictive risk and pricing scenarios are future development areas, subject to validation.
From dashboards to AI agents
Intelligence Should Reach People
Where Decisions Happen
Our direction is to bring useful intelligence into everyday workflows, so teams can move from reading a dashboard to making an informed decision.
AI agents and broader automation describe our development direction. Availability depends on the use case, validation and agreed pilot scope.
Our approach to AI
AI With Evidence, Context
and Human Oversight
AI supports data preparation through signal anomaly checks and controlled ML estimates. Observed values and estimates remain distinguishable; a missing signal is never assumed to be zero.
Explainable
Insights need an understandable basis, visible sources and clearly identified estimates.
Context-Aware
Interpretation needs data quality, operational history and relevant exposure.
Human-Governed
Sensitive safety and insurance decisions remain with accountable people, supported by reviewable evidence.
Built for commercial transportation
Built Around the Reality
of Commercial Vehicles
An intelligence foundation designed for varied operating environments. Coverage depends on the available vehicle data.
Our journey
From Connected Vehicles
to Vehicle Intelligence
The evolution guiding what we build: from connected signals to evidence-led operations.
Connected Data
Vehicle signals, telemetry and a trustworthy data foundation.
Fleet Analytics
Driver, vehicle and operational insight with clear coverage.
Advanced Intelligence
Time-based analysis and governed data preparation. Predictive use cases remain in development.
Insurance Intelligence
Reviewable behavior evidence and human-led risk workflows.
AI-Native Operations
AI agents, predictive intelligence and decision support, subject to validation.
The people behind DAIOTA
Leadership & Team
Built by a team that understands data, vehicles and operations.
Ali Kavoosi Nezhad
Co-Founder & CEO
Vehicle intelligence, technology strategy & business development
Alireza Jafar Gholi Beik
Co-Founder & COO
Transportation operations, energy & sustainability
Ali Zardan
Co-Founder & CPO
Product strategy, commercial vehicles & startup development
Ghazal Nazari
Data Science
Machine learning, data pipelines & operational analytics
Atefe Sirous
Data Science
Predictive analytics, data modeling & insight quality
Farzam Nazari
Data Science
Machine learning engineering & data-driven products
Our mission
Make vehicle data useful,
trustworthy and actionable.
Turn fragmented vehicle and operational data into intelligence organizations can use to improve safety, efficiency, sustainability and risk decisions.
Our vision
A transportation ecosystem
that keeps learning.
An ecosystem where every connected vehicle can continuously contribute to smarter decisions.
From Raw Vehicle Signals
to Trusted Intelligence
to Better Decisions.
Fleet. Insurance. Intelligence.
Continue the conversation
See What DAIOTA Intelligence
Can Do With Your Fleet Data
Explore the platform or talk with our team about your vehicles, data and operational priorities.