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About AONE

We help businesses grow with AI-native software.

AIverseOne (AONE) was founded in 2024 by a leadership team with decades of experience across technology, product and operations. We design, build and run the digital products and AI systems that businesses depend on every day: customer apps, operations platforms, AI agents, analytics, voice and automation.

Our clients run home-services networks, property and co-living businesses, facility-management operations, hospitals and public institutions. Alongside their work, our innovation lab builds our own AI products, including adaptive learning and digital twins, so the capabilities we bring to clients are proven, not theoretical.

Why we exist

Intelligence, engineered for growth.

Our mission

Help every business become AI-native.

We turn data, operations and customer experience into intelligent systems that grow revenue, lower costs and make every decision sharper.

Our vision

Enterprise-grade AI for businesses of every size.

The same intelligence the largest companies use, made practical, affordable and trustworthy for growing businesses and the institutions that serve the public.

Our promise

Outcomes first. Accountable always.

We agree the result before we build, engineer it to enterprise standards, and stay with you to run, measure and improve it after launch.

Innovation lab

Building what our clients will need next.

Alongside client delivery, our innovation lab builds AI products of our own. It keeps us ahead of the technology, and it means the capabilities we bring to your business are already tested in the real world. We research in order to ship, not to publish papers.

ProductIn development

Digital twins for operations

Living digital models of buildings, sites and operations, fed by live data, so a business can simulate a change, predict a failure or optimise energy and space before acting in the real world. It grows directly out of the property, facility and field-operations platforms we already run for clients.

Explore a digital twin for your business
Product

In development

Adaptive learning

Learning software that adapts pace, difficulty and presentation to each learner in real time, including research into attention and engagement signals. Built for training teams, educators and anyone whose business depends on people learning well.

Roles on this product
Research

In production & research

Voice & language AI

Speech-to-text, summaries and translation for multilingual customers and teams, already proven in live production use. Research continues on accuracy for regional languages and specialist vocabulary.

Voice AI in production
Research

Applied research

Agentic operations

AI agents that plan, reason and act on business systems through the Model Context Protocol, with evaluation and human approval built in. The goal: operations that run themselves where it is safe to, and escalate where it is not.

See our architecture
Delivery

In production

Operator platforms

End-to-end products for people who run a business all day: home services, property, workforce and facility operations. Every lab idea is tested against these real platforms before it reaches a client.

Client stories
Product

Not yet public

Further AI products

Other applied-AI product lines are in development and stay unnamed until they are ready. If you have a problem that off-the-shelf AI does not solve, ask us what is in flight.

Talk to us
What we stand for

The principles behind every platform we build.

Not slogans: commitments you can hold us to, from the first conversation to long after launch.

01

Outcomes before output

We start from the business result you need, whether that is growth, lower cost, better service or proof of quality, and agree how it will be measured before we build. Features are a means, not the goal.

Every engagement begins with the goal and the measure, in writing.

02

The AI drafts. A person decides

Wherever AI output carries consequence (a payment, a record, an access decision, a message to your customer), a human review sits between the model and the outcome. Trust is designed in, not added after an incident.

It is why institutions trust our AI with their official records.

03

You own what we build

You own the source code, the data and the cloud accounts. Documentation and runbooks are deliverables, and handover to your own team is a defined process, not a negotiation.

No proprietary runtime that only we can operate. Ask us to put it in the contract.

04

Plain answers, even when they cost us

If AI is not the right answer to your problem, or we are not the right team, we will say so. A clear no today is worth more to both of us than a project that should never have started.

That answer costs you one conversation, not a failed project.

Leadership

Leaders who have built, scaled and run businesses.

Decades of combined experience across technology, product, operations and go-to-market, with delivery for clients in the USA, India, Canada and Singapore. The person accountable for your engagement is named before it starts, and reachable throughout.

Lokesh — Founder & CEO

Chief Executive Officer

Eighteen years in technology and business development, delivering for clients in the USA, India, Canada and Singapore rather than from a single domestic base. Trained as a systems engineer and in business analytics (AI/ML), with an MBA in Technology Management / IT Management, he sits at the join of architecture and commercial judgement: what the firm will take on, how it is staffed, and what a legislature or a product team can hold us to. He set AONE up as both a delivery firm and a product lab — named clients, owned products including an adaptive learning platform, a written delivery model, and a plain answer when we are not the right team.

18Years in technology & business development
Education
  • MBA — Technology Management / IT Management, USA
  • Double MS — Systems Engineering, and Business Analytics (AI/ML), USA
Delivery acrossUSAIndiaCanadaSingapore
Reddygari Rakesh Reddy

Reddygari Rakesh Reddy

Chief Marketing Officer

Twenty years as an operator, not a campaign manager: he built and scaled ventures across restaurants, import-export, media and commercial printing — competitive markets where cashflow, reputation and repeat custom are the only metrics that count. That is the judgement he brings to how AONE is taken to market. He talks to buyers who have to live with the decision — public-sector procurement and product teams alike — and he will not dress a capability as a slogan if the engagement record cannot carry it.

Sridhar Loka

Sridhar Loka

Chief Product Officer

Product Development

Twenty years in IT and product, with an MBA and a second chapter building in the education sector. He has shipped the unglamorous half of software — the operations console, the field surface, the bilingual content model — and he treats that as the product, not a leftover. Corporate delivery plus having run a venture himself is how he frames scope: what an operator must be able to do on day one, what can wait, and what should never be a demo. At AONE he holds the product line to that standard across government, consumer and facilities work.

Sandeep Kommireddy

Chief Technology Officer

Fifteen years as a hands-on technology leader — architecture, applied AI and production engineering, not a slide layer above other people’s code. He owns the technical spine of every AONE platform: the AP Legislature’s digital pass (request, approval, issuance, mobile gate scan and audit), and Sabha Record’s Telugu-first live transcription with a human editorial gate before anything enters the official record. He designs for session-time constraints, multi-model routing, and systems that have to keep running when failure would be public.

Vishnu Vardan

Chief Operating Officer

Fifteen years in IT operations and delivery — the work that starts when architecture is agreed and does not stop at go-live. He is accountable for how engagements are staffed, sequenced and landed: named leads, staged environments from week one, and a support shape that follows when the system is actually used — for legislative platforms, around the sitting calendar. Institutional buyers get a delivery they can plan around, and a team that is still answering the phone after the first production week.

Hemanth Dasari

Head of Product

Sixteen years taking software from a requirement to a system people actually run a business on. He led Urban Klean as a complete two-sided platform — customer app, Sevak field app and the console that dispatches both — and MyDomu as property operations modelled down to the bed, with live payments, vendors and messaging. That is product work in production: bookings, field execution, billing and quality, not a prototype handed off at launch.

Santhosh Kumar

Director – Quality Engineering & Test Automation

Quality standards & automation

Seventeen years in quality engineering and test automation, built in live delivery rather than in a lab. He sets the regression standard and the release bar for systems that cannot be “tried again on Monday”: automated coverage on payments, access, attendance and session-time paths; written quality criteria a reviewer can audit; and a harness that fails the build before a defect reaches production. He is the person who decides whether a release is competent enough to sit in front of a legislature, a hospital or a field workforce.

Our journey

From first platform to AI-native partner.

The milestones we can publish: client platforms now running real businesses, and the innovation lab growing beside them. It is a selection, not everything we do.

  1. 2024The firm
    The firm

    AIverseOne is founded

    Founded by a leadership team with decades of experience to build AI-native software for businesses and institutions, and to create AI products of our own. From day one: business outcomes first, clients named only with permission, and a plain answer when we are not the right team.

    StudioOngoing

    An innovation lab, from the first year

    Client delivery is one half of the firm. The other is our own AI products and applied research: adaptive learning, voice and language AI, and further lines that stay unpublished until they are ready.

  2. 2025Production & research
    PropertyMyDomu

    Rent, rooms and residents on one system

    Property operations for PGs, hostels and apartments — modelled down to the bed, with live payments, guest KYC, a vendor network and a full messaging layer. The operations console is the product, not a leftover.

    MyDomu
    GovernmentAndhra Pradesh Legislature2025–2026

    The House stops printing passes

    An end-to-end digital pass across every department that admits someone to the House — request, approval, issuance, mobile gate scan and a complete audit trail. Live during assembly sessions, with no paper fallback.

    Digital Pass
    Applied AIAndhra Pradesh Legislature2025–2026

    The House, transcribed as it speaks

    Telugu-first live voice-to-text, editorial correction, briefing and multilingual translation — running during the sitting, not after it. A human gate sits between the model and the official record.

    Voice AI
    ProductAONEIn development2025–2026

    Adaptive learning platform — research into build

    We begin the owned learning product: dynamic content, sequencing and customisation that decide what a learner sees next. This is product development with a research spine, not a client case study, and it continues into 2026.

    Hiring for this product
  3. 2026Field systems & the lab
    ConsumerUrban Klean

    The customer app, the Sevak app, and the console

    A complete two-sided home-services platform — booking, dispatch, field execution and quality — built end to end across three coordinated surfaces, with payments and proof-of-service in production.

    Urban Klean
    WorkforceLe'Securise

    A workforce that is never in one building

    HRMS and daily operations for a PSARA-registered agency across two states — site-aware attendance, rostering, onboarding and statutory documentation for staff who never report to a head office.

    Le'Securise HRMS
    OperationsLe'Securise

    Proving the SLA you signed

    Daily site operations, MEP asset logs, incident handling and contractual SLA evidence — built so a three-year contract is renewed on record rather than on argument.

    Le'Securise operations
    HealthcareSAVE Hospital

    A hospital product, bilingual by default

    Public presence, appointment booking and a department directory for a multi-specialty hospital — English and Telugu throughout, not as a translation layer bolted on after launch.

    SAVE Hospital
    ResearchAONEApplied research

    Learning intelligence research

    Applied research so learning software can respond to each learner’s attention and engagement, adjusting pace and prompts in a way that feels helpful, never intrusive. Consent and real-world conditions are part of the design.

    Attention & gaze role
    ProductAONEIn development

    Digital twins and agentic operations

    The lab moves into digital twins, living models of buildings and operations, and AI agents that act on business systems through MCP. Both grow out of the operations platforms we already run for clients.

    Explore with us
Start here

Let’s build what’s next.

Tell us where your business wants to grow. In one conversation we will show you where AI and software will pay back first, and whether we are the right team to build it.

  • 30 minutes, free, no obligation
  • A clear, practical recommendation
  • Your ideas and data kept confidential
+91 9274 57 58 59Talk to us directly
Businesses & enterprises

Book a free strategy call

We look at your goals, your current systems and your biggest time and cost drains, then recommend the first AI or software move with the fastest payback.

Book my strategy call
Public sector

Request a briefing

A working session on your requirement, our reference deployments and a capability statement.

Public sector