AI product engineering
Build AI products that work beyond the demo.
TensorPeak Labs turns valuable AI opportunities into dependable products, agents, automations, and knowledge systems built for real users and real operations.
What we build
One engineering partner for the systems around your AI.
AI Products
Turn a valuable AI use case into a dependable product your customers and team can use every day.
Agents & Automation
Design observable agents that coordinate tools, data, and human review across real business workflows.
RAG Systems
Make trusted company knowledge searchable, useful, and attributable inside products and internal workflows.
AI Strategy
Identify practical AI opportunities, choose the right architecture, and create a delivery plan grounded in your systems.
Voice Agents
Build responsive voice agents for inbound and outbound calls, connected to the tools and workflows that complete real customer tasks.
AI Infrastructure
Deploy and operate AI systems with the observability, reliability, security, and cost controls needed for production.
Designed as a system
Models are one layer. The product is everything around them.
We design the data, tools, evaluations, human controls, product experience, and operations that make AI useful after launch.
- —Evidence before confidence
- —Human control where impact is high
- —Quality, latency, and cost you can see
01 · Inputs
02 · Intelligence
OrchestratedModels
Reasoning & generation
Retrieval
Grounded context
Tools
Business actions
Memory
State & history
03 · Outcomes
How we work
Move quickly without skipping the decisions that matter.
- 01
Discover
Frame the user, workflow, evidence, constraints, and definition of success.
- 02
Prototype
Test the riskiest product and technical assumptions with representative data.
- 03
Build
Ship a complete first release with controls, evaluation, and observability.
- 04
Operate
Learn from real usage and improve quality, speed, reliability, and cost.
Technology choices
The right tool for the constraint.
We stay flexible across providers and platforms so the architecture serves your product rather than the other way around.
Models
AI systems
Voice & realtime
Product
Infrastructure
AI data & retrieval
Concept demonstrations
See how the pieces fit together.
Concept Demo · SaaS & White-labeling
AI SaaS & White-label Platform
A multi-tenant AI platform that lets operators configure, brand, launch, and manage customer-facing AI experiences.
Explore the system →Concept Demo · Voice AI & Tool Calling
Voice Scheduling & Service Agent
A real-time voice agent that answers calls, uses approved tools, schedules appointments, and hands complex requests to a person.
Explore the system →Concept Demo · Support Operations
Customer Support Knowledge Copilot
A permission-aware support assistant that finds evidence, drafts responses, and escalates uncertainty.
Explore the system →Concept Demo · Document Operations
Intelligent Document Processing Platform
A review-first pipeline for extracting, validating, and routing information from complex documents.
Explore the system →Concept Demo · Workflow Automation
Operations Automation Agent
A bounded agent that coordinates recurring work across inboxes, internal tools, and approval queues.
Explore the system →Founder-led delivery
Senior engineering attention from the first question to production.
Who you work with
Omer Bhatti
Senior Software Engineer & Tech Lead
A product-minded software engineer with 5+ years of experience leading teams and shipping reliable systems from early concept to production.
Common questions
Useful context before we talk.
What does TensorPeak Labs build?+
We build AI-powered products, voice and text agents, workflow automation, and knowledge systems that connect safely to real business data and tools.
Can you start with a small proof of concept?+
Yes. We begin with a focused discovery and validation phase, then turn the strongest path into a production-ready first release without creating a throwaway prototype.
Do you work with an existing engineering team?+
Yes. We can own an outcome end to end or work alongside your product and engineering teams as a focused AI delivery partner.
Which AI models do you use?+
We choose models based on quality, latency, privacy, cost, and operational needs. That can include OpenAI, Anthropic, or suitable open-source models.
Do you build AI voice agents?+
Yes. We build inbound and outbound voice agents using platforms such as Retell AI and ElevenLabs, with telephony, business-tool integrations, human transfers, testing, and production monitoring.
Start a conversation
Build the right AI system, not just the obvious one.
Bring us the workflow, product idea, or architecture question. We’ll help you find a practical path forward.
Book a 30-minute call