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Our Products

Rêver Studio

AI gallery and culling platform for photographers

Rêver Studio is an online client gallery for photographers and studios. Deliver beautiful galleries and let AI handle the tedious parts of a shoot: grouping photos by face and shortlisting the best frames before you start editing.

  • Beautiful, shareable galleries for photographers and their clients
  • AI face grouping, so guests can find every photo they appear in
  • AI-assisted culling that flags duplicate and near-duplicate shots
  • Automatic detection of blurry and out-of-focus frames
  • Closed-eye detection to drop blinks before they reach the client
Rêver home page showing a client gallery on desktop and phoneRêver theme picker with Kove Editorial, Kove Mosaic and Noir Cinema gallery themesA wedding gallery in Rêver's Noir Cinema theme

Projects We've Shipped

A selection of production systems the Tensorplay team has built across AI, IoT and enterprise automation.

Energy Monitoring & Space Utilisation

Azure IoT Twins · .NET · React

Digital twins for airports, hospitals, schools and parking lots across North America, cutting energy use with occupancy- and daylight-driven lighting automation.

Video Monitoring & Surveillance

AI camera monitoring for warehouses, cloud kitchens, retail and supply chains, covering detection, classification, segmentation, tampering and left-behind objects.

Energy Purchase Quote Builder

Quote generation for energy buyers on the Indian Energy Exchange, predicting DAM and RTM price ranges from market trends and rules.

Incident Management System

Google ADK · Python · React · TypeScript

Automated incident triage and root-cause analysis, coordinating specialised agents through MCP, skills and RAG over enterprise knowledge.

Product Advisory Chatbots

Azure Cognitive Services · C# · React

Conversational assistants that present product features with images and multimedia to help customers choose.

IoT Device Simulators

Azure IoT Hub · .NET · React

Simulators for sensors, actuators and controllers that demonstrate device behaviour against Azure IoT Hub before hardware ships.

Digital Persona

A digital twin of a person, built by researching their public footprint and linking their websites, LinkedIn, podcasts, Instagram and YouTube into one persona.

Intelligent Cab Routing

Python · Flask · React

Route optimisation that matches riders to cabs by destination, cab capacity and arrival time.

Robust Infrastructure

Bridging the Gap Between Concept and Scale

Most AI projects fail at the transition from demo to deployment. We specialize in the hard engineering required to make AI reliable, secure, and fast.

Illustration: Production-Ready AI Architecture

Production-Ready AI Architecture

We don't just build prompts; we build systems. We wrap your AI logic in enterprise-grade security, monitoring, and auto-scaling infrastructure.

  • Multi Agent Orchestration
  • Scalable GPU-accelerated cloud deployments
  • RAG (Retrieval-Augmented Generation) at scale
  • Custom LLM fine-tuning and deployment

From 'Vibe' to Verified

If your PoC feels right but fails under pressure, we are the team that stabilizes it. We replace 'vibe-based' testing with rigorous automated benchmarking.

Know About Us

    What our clients say

    See why founders and enterprise CTOs trust Tensorplay to handle their most critical AI engineering challenges.

    Chief Technology Officer

    FinTech Startup, Series B

    Tensorplay took our messy Python notebooks and turned them into a high-performance API handling millions of requests per day. The engineering quality is genuinely enterprise-grade — we were in production in six weeks.

    Founding Engineer

    Enterprise SaaS Company

    The transition from vibe-coded prototype to production was seamless. They understood the nuance of our AI model and built exactly the infrastructure it deserved. Our LLM costs dropped 55% in the process.

    Ready to scale your AI from 'Demo' to 'Deployed'?

    Stop settling for prototypes that break under pressure. Join forces with Tensorplay to harden your infrastructure, optimize your models, and deliver enterprise-grade AI experiences that actually perform.

    Contact Us