The Datanito direction formed around software, digital products and technology systems.
Datanito is an artificial intelligence company. We build AI products, agentic systems, research-driven software and the infrastructure around them—so intelligence can move from an answer on a screen to dependable work people can understand, govern and control.
Artificial intelligenceSoftware systemsCloud infrastructureDigital services
Datanito entered a broader operating phase with a more connected product and services portfolio.
Models, conversations, coding and workflows are developed as parts of one practical AI platform.
Products are designed for regional language, currency, infrastructure and customer requirements.
The company
AI becomes valuable
when the whole system
is ready for it.
A model response is only one layer of a useful AI product. Identity, context, permissions, data boundaries, tools, workflows, observability, billing, reliability and interface design determine whether a capability can be trusted in real work.
Datanito builds across those layers. Our AI products sit alongside the cloud and digital infrastructure needed to operate them, while Datanito Core connects customers to the services that support an idea from domain and hosting through software and ongoing operations.
One technology platform
Different products.
One operating system.
We organize the portfolio around the work customers need to complete—not around disconnected product categories.
Quanta
Models, chat, coding and agentic workflows designed to reason, create and move into governed execution.
Explore Quanta ↗Nito
An AI-native creation direction for translating product intent into refined, editable digital experiences.
Explore Nito ↗Datanito Core
Cloud, domains, hosting and digital services that support products, companies and operational workloads.
Explore Core ↗How we build
From capability
to operation.
The product is the full path between what intelligence can do and what a customer can safely depend on.
Capability
Models, reasoning, retrieval, code and tools create the underlying ability.
Product
Clear interfaces, workflows and context turn capability into something people can actually use.
Operation
Cloud, observability, billing, support and regional behavior keep the product dependable.
Trust
Permissions, security, auditability and explicit control keep consequential actions understandable.
The AI era
Research informs the product.
The product informs the research.
Datanito is organizing its next chapter around artificial intelligence: useful agents, evaluation and reliability, multilingual systems, human–AI collaboration, and AI systems for organizations. We publish these as active research directions—not inflated claims about work that is not yet complete.
Research
We study the system-level questions that determine whether AI remains useful outside a demo: tool use, evaluations, reliability, multilingual behavior and human control.
Explore research ↗Products
Quanta and future Datanito AI products turn those ideas into interfaces and workflows people can actually use across personal and organizational work.
Explore AI ↗Infrastructure
Datanito Core provides the software, cloud and operational layer required to deploy, connect and support intelligent products across regions.
Explore Core ↗Company direction
Built in layers,
not in slogans.
The company has expanded from software and cloud operations into a broader artificial intelligence platform, with research, products and infrastructure designed to reinforce one another.
The Datanito direction takes shape
The founding direction develops around software products, digital systems and the infrastructure needed to operate them.
Cloud and operational systems expand
Infrastructure, hosting and operational capabilities become a larger part of the product foundation.
Datanito is formally registered
The company moves into a broader operating phase with a more connected technology portfolio.
Quanta becomes a visible AI direction
AI capability moves into product work around conversations, coding, models and workflow execution.
The platform becomes more unified
AI products, regional systems, account infrastructure and Datanito Core continue converging into a more cohesive platform.
Leadership
Founder-led product
and AI direction.
Leadership stays close to product, engineering, infrastructure and the systems customers actually use.
CEO · AI leadership
Milad Saraf
CEO & Chief AI Executive Officer
Milad Saraf leads Datanito across company strategy, product direction and artificial intelligence. His role connects model capability with the software, infrastructure, governance and customer experience required to turn emerging AI capabilities into dependable products.
As Chief AI Executive Officer, he directs the company’s AI work across Quanta and related systems, with emphasis on practical outcomes, governed automation, scalable delivery, regional readiness and keeping human control visible when AI moves from recommendation to action.
AI strategyProduct directionGoverned automationPlatform systemsCompany leadership
Operating principlesHow we decide what is worth building
Useful before impressive
Capability matters when it solves a real problem clearly, repeatedly and at the right cost.
Control stays visible
People should understand what the system is doing and where consequential actions require approval.
Infrastructure is product
Reliability, latency, security, regional behavior and support belong to the customer experience.
Improve the whole system
Models, interfaces, operations and code are refined together instead of optimizing one layer in isolation.
Build with Datanito
The next systems
are being built now.
Explore open roles across AI, engineering, design, infrastructure, security, product, operations and growth.