Embodied AI, built in India

Robots that hold a room.

PredictML builds embodied-AI machines that work in the places people actually are — classrooms, reception halls, hospital corridors. Two flagship robots, one edge-AI platform.

Footage: EDU-BOT taking a lesson at Mandal Parishad High School, Kokapet. Fixed upper body, wheeled base, no articulated limbs.

One platform, two flagships

The same machine underneath.

EDUBOT and AURRA BOT are two expressions of one hardware architecture. Select a component to see what it does.

EDUBOT seen full height: a tapered white body with gold lettering, a chest-mounted touchscreen and a ring-lit camera head
Platform components

Jetson OrinRuns perception, speech and navigation on the machine itself, so a classroom with unreliable connectivity still gets a working robot.

LiDARMaps the room continuously and keeps the robot a safe distance from people and furniture.

RGB cameraRecognition and scene understanding, feeding the interaction layer rather than a remote server.

TouchscreenSet at the eye level of a seated student or a person at a counter — the primary way people interact.

BLDC driveMoves the robot between positions. The upper body is fixed; there are no articulated limbs.

ESP32Handles the real-time control loop underneath the AI stack.

Two robots, two rooms.

Schools

EDUBOT

A teaching assistant for K–12 classrooms. Delivers interactive lessons, runs quizzes, takes attendance and answers questions in English and regional languages.

Explore EDUBOT

Hospitals and front offices

AURRA BOT

A front-of-house robot for reception halls and hospital corridors. Greets visitors, answers routine questions and guides people to where they need to be.

Explore AURRA BOT

Also from PredictML

Two platforms, running in software.

The same engineering, without the chassis: a router that sends each AI request to the model that suits it, and a marketing team of AI agents that ships nothing without your approval.

AI/LLM router

prouter

prouter.io

Cut LLM Costs by 60% and Eliminate Downstream Outages

Dynamically route prompts across OpenAI, Anthropic, Llama, and local endpoints. Automatically balance cost, latency, and model capacity with a single drop-in SDK.

Lower token spend
60%
Routing overhead
<10ms
Multi-provider fallback
Live
  • Cost-aware dynamic routingAutomatically inspect incoming prompt complexity. Direct simple tasks to lightweight models and reserve frontier models for complex reasoning, reducing monthly token spend by up to 60%.
  • Instant multi-provider fallbacksWhen primary APIs hit rate limits or experience latency spikes, Prouter reroutes traffic to healthy backup endpoints in milliseconds without failing client requests.
  • Unified telemetry and cost analyticsMonitor real-time latency, token usage, and cost per feature across all upstream providers from a single dashboard.
  • Routing intelligenceThe decision engine scores the request before spend is committed. Intent, modality, reliability and policy converge into a route decision that can adapt as providers change.
  • Multimodal accessLanguage, image, video, voice and specialist intelligence behind one integration.
  • Developer integrationOne OpenAI-compatible surface, with the routing logic behind it. Keep your integration stable while Prouter evaluates each request and chooses the model or model chain that fits the job.

Marketing agent platform

reAIagents

reaiagents.com

Six AI teammates run your marketing. You approve what matters.

Six specialist AI agents plan, create, run and optimise marketing end to end — one coordinated team on a single shared model of your brand, where every send and every dollar waits on your approval.

  • Approval before anything shipsEvery agent's ability to publish, send or spend is off by default. An agent proposes, you approve — or you don't, and nothing happens.
  • Six specialists, one systemElara leads and delegates; Sora content and social; Kael growth and advertising; Lyra research and SEO; Orin leads and outreach; Mira analytics and optimisation.
  • Brand DNA, from almost anythingPoint it at a website, or upload a brand deck, a logo or a pitch video — it extracts voice, palette and positioning either way.
  • A library that reuses before it regeneratesNew creative is only generated when nothing existing already fits: search, then generate, not generate-by-default.
  • Lifecycle sequences on your own contactsDrip sequences and churn triggers run on the customers you already have, not a purchased list.
  • A real marketing skills librarySEO, growth, retention and sales playbooks the agents draw on, rather than a generic prompt.

Rooms it has stood in.

Government schools in Ranga Reddy district, an industrial training institute, and a trade exhibition floor. Photographs from the visits, not staged shots.

  • Children crowding closely around the robot with a teacher, several reaching toward its screen
  • A full classroom of seated students facing EDU-BOT and a projector screen at the front of the room
  • A trainee taps the robot's chest-mounted touchscreen. The wall display mirrors what the robot is showing: a PLC SCADA training topic, a Listen control, and a box for typing a question
  • Students in school uniform standing either side of EDU-BOT, its screen turned toward them
  • The robot standing at the front of a computer training lab while trainees work at desktop workstations
  • Visitors in conversation beside the robot at a trade exhibition stand

A session, as it ran.

Unedited and silent — one classroom at Kokapet, one demonstration in a training hall.

  • A full class watching EDU-BOT deliver a lesson at Kokapet. Silent clip, 32 seconds.
  • A demonstration in an industrial training institute, trainees and visitors gathered around the robot. Silent clip, 41 seconds.

What the schools said.

Recorded at the schools where EDUBOT has worked. Quoted as given.

  • “With EDUBOT’s arrival, our school saw full attendance. The curiosity and excitement among children were unlike anything we’ve experienced before. Since this humanoid robot can function around the clock, parents feel assured that gaps caused by teacher shortages are being addressed. I am confident that our admissions will double next year, and I strongly encourage every public school to adopt this technology to overcome the teacher shortage.”
    Mr. RamuluHead Master, MPP Public school, Gandipet
  • ”I teach English, but the way EDUBOT explained lessons with animation videos—I have never seen students so engaged. Their enthusiasm for learning was evident. I truly believe EDUBOT can help address today’s educational challenges. This is the need of the hour.”
    Ms. AnithaNGO representative and English teacher
  • “EDUBOT explained the concept of fractions so effectively that I could take a short break. When I returned and wrote problems on the board, students solved them instantly. In that time, I was even able to finish other important work. EDUBOT truly acted like a teacher’s assistant.”
    Mr. SrinuMath teacher, MPP Public school, Gandipet

Next step

See one in a room.

The machines are built for classrooms, reception halls and hospital corridors — places that are noisy, crowded and unpredictable. A demonstration on site tells you more than any specification sheet.