TensorOpsOpenAI
Announcing a new partnership

Frontier intelligence.Real-world impact.

TensorOps and OpenAI are partnering to help organizations turn the world's most capable models into software, automation, and lasting operating advantage.

Codex

Engineering velocity

Agents

Business automation

GPT-5.6

Model architecture

OpenAI API

Production systems

The partnership

Capability is only the beginning.

OpenAI brings frontier models and products. TensorOps brings the engineering, operating context, and close collaboration required to make them useful inside your business. Together, we close the distance between a breakthrough and a working system.

01

Engineering

Build with Codex

Adopt agentic software development with the workflows, guardrails, context architecture, and evaluation systems your teams need to move from experiment to daily practice.

  • Repository-ready workflows
  • Agent instructions and skills
  • Quality and security evaluation
02

Operations

Automate the business

Turn repetitive knowledge work into dependable agent workflows that connect to your tools, understand your operating context, and leave humans in control.

  • Process and ROI discovery
  • Tool-connected agents
  • Governance and observability
03

Products

Launch on OpenAI

Help your startup find the right wedge, model architecture, and production path—then build the product alongside your team until customers can use it.

  • Prototype to production
  • Model and cost architecture
  • Embedded AI engineering

GPT-5.6 model family

Efficient by default.Maximum performance on demand.

Match capability to customer value, latency, and cost—with one family spanning high-stakes expert work, everyday production, and scaled automation.

Read the OpenAI announcement

Flagship

Sol

For your hardest coding, research, cyber, science, and expert-work challenges.

Balanced

Terra

Capability, speed, and economics tuned for everyday production workloads.

Efficient

Luna

Fast, cost-efficient intelligence for high-volume automation at scale.

Performance per dollar

53.6

Agents' Last Exam

New high for professional workflows

80

Coding Agent Index

Sol with max reasoning

92.2%

BrowseComp

Sol with multi-agent ultra

Programmatic tool calling. Multi-agent. Persisted reasoning.

New building blocks for workflows that can plan, use tools, and move work forward.

Benchmarks and comparisons as reported by OpenAI, July 2026. Results vary by task, reasoning level, and implementation.

How we work

Start with value. Ship the system.

  1. 01Find the valuable work

    Map workflows, users, economics, data, and risk. Prioritize the opportunity where OpenAI capability can create measurable leverage.

  2. 02Design the right architecture

    Choose the model tier, reasoning level, tool strategy, context, evaluations, and human checkpoints around the actual job to be done.

  3. 03Build in the real environment

    Integrate with your systems and data, test against real work, and iterate with the people who will rely on it every day.

  4. 04Operate for quality and cost

    Measure outcomes, latency, and spend. Route intelligently across Sol, Terra, and Luna as requirements change.

Build with TensorOps + OpenAI

What could we make possible?

Tell us where you see the opportunity. We'll bring an opinionated path from first conversation to production.

A focused working session with our AI engineers

A value, architecture, and model-fit assessment

A practical route to a production pilot

What are you interested in?

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