A platform for real-time conversational video agents: AI systems that combine speech, video, expressive avatars, and product integrations.
Read case notes01 / 09 — HomeOpen for new work
Software thatearns its place.
New products, connected systems, and AI built around how your business works. When the software is already there, we make it better — then stay to keep it moving.
Studio note01
Evidence first. Adjectives second.Live products, named roles, public sources. No logos we cannot show.
- Public references
- 05 projects
- Service areas
- 08 offerings
- First step
- Fixed discovery
- Delivery
- Design → launch → care
Most software problems are not technology problems. They are clarity problems.
A business owner needs a site that explains the work and takes bookings. A founder needs an agent that survives contact with real customers. Both need someone who can define the outcome, choose the smallest sensible system, and ship it without a six-month fog.
Lumior.Tech is an independent studio led by Sandeep Kommineni. We scope in plain language, build in reviewed increments, and hand over a system your team can operate. The work is public where it can be; the claims are labelled where it cannot.
01.1Selected work
Reference work,
not a showreel.
05 projects in the register
3 are shown here. 4 of 5 link to live public products you can inspect. Roles are labelled; mockups are clearly illustrative.
Open the full indexAn AI sales-development product that engages inbound website visitors, qualifies prospects, gives personalized product demos, and helps book meetings.
Read case notesAn interactive avatar interface for OpenClaw agents, adding live video and voice interaction to an agent that would otherwise communicate through text.
Read case notes01.2Services
Two ways in. One standard.
Whether you run a business or a product team, the first conversation is about the outcome. The technology follows.
See all servicesPathway A
For the business that needs to show up.
A website, storefront, booking flow, or internal system that removes manual work and makes the business legible online.
- Business websites
- Web apps & portals
- Mobile apps
- ERP & internal systems
Pathway B
For the team building with AI.
Agents, voice, integrations, and product engineering — built with evaluation and handover, not a demo that dies after the launch post.
- AI agents & voice
- API integrations
- Product engineering
- Rescue & performance
01.3Process
You can watch the work happen.
Seven phases in detail, four here. Every engagement starts with a small fixed discovery: scope, risks, and a plan you keep either way.
The full process- 01
Discover
Goals, constraints, users, and what “done” means — fixed before estimating.
- 02
Design & plan
Architecture, milestones, and risks, documented where you can inspect them.
- 03
Build & prove
Small reviewed increments, demoed as we go; QA before anything ships.
- 04
Launch & operate
Deployment, monitoring, handover, and a clear path for support.
No black boxes. Demos each cycle, tests growing with the code, and handover documentation at launch. The plan is yours even if you build elsewhere.
01.4Evidence
Verifiable,
not vouched.
No client logos, awards, or metrics we cannot source. Each reference below states what the product does and Lumior’s documented role — nothing more.
01.5Client pathways
Which one is you?
A short filter. If one of these is close, the discovery will find the rest.
You have a clear outcome but not the team to build it. Fixed discovery → build → launch → care.
Your current site or product no longer reflects the business. Rebuild or replatform without losing what works.
You need AI in a workflow, not a demo. Evaluate, integrate, monitor, and hand over a real system.
A build is stuck, fragile, or inherited. Stabilize first, then document and improve.
01.6Buying questions
Before the first call.
The questions that decide whether a project starts well. If yours is not here, ask it directly.
What does a project cost?
There is no public price list because scope changes the number. The first step is a small fixed discovery: you get a written scope, risks, and a plan you keep either way. A build is then quoted against that plan, not against a guess.
Can you work with a non-technical team?
Yes. Most engagements start with an owner or operator who knows the outcome but not the stack. We translate decisions into plain language, keep the plan visible, and hand over documentation your team can actually use.
Do you use AI to build the work?
We use modern tools, including AI-assisted development, but every change is reviewed, typed, and tested. “AI-generated” is not a quality claim. You get code your team can operate and a repository you own.
What happens after launch?
You can take the handover and run it yourself, ask for a defined maintenance plan, or keep an engineering partnership. Monitoring and documentation are part of the launch so the system is not dependent on us.
Can you fix something that is already built?
Yes. Rescue work starts with a diagnostic: reproduce the failures, map the system, and stabilize before adding features. You get findings and a prioritized plan, not an open-ended retainer.