Insights

Enterprise orchestration TensorOpera AI offers an AgentOpera Supera platform that enables enterprises to orchestrate multiple AI agents and design seamless workflows. This presents a sales opportunity to position the platform as a solution for complex enterprise task automation, multi-agent coordination, and scalable AI deployment across teams.

Serverless GPU The platform supports launching training and inference jobs on serverless or decentralized GPU cloud, along with distributed training experiments. This can be pitched to customers needing scalable, cost-efficient AI model development and inference at scale without heavy on‑prem infrastructure.

Strategic partnerships Recent integrations with Aethir for GPU resources and Qualcomm Cloud AI 100 demonstrate strong ecosystem collaborations. Sales can leverage these partnerships to reassure prospects about access to premier hardware and accelerated deployment options for GenAI / LLM workloads.

Financing momentum TensorOpera AI secured $20M in venture financing and has a growing corporate structure via Teamily as a subsidiary. This signals financial backing and growth potential that can be used to instill confidence in customers considering long‑term, enterprise‑grade commitments.

Market positioning With a mid‑sized, specialized software focus and a revenue range suggesting solid scale, TensorOpera AI sits between smaller niche players and larger AI platforms. This presents an opening to target mid‑market enterprises seeking customizable, scalable AI agent orchestration without the overhead of oversized platforms.

TensorOpera AI Tech Stack

TensorOpera AI uses 8 technology products and services including iCIMS, Varnish, Fastly, and more. Explore TensorOpera AI's tech stack below.

  • iCIMS
    Applicant Tracking Systems
  • Varnish
    Caching
  • Fastly
    Content Delivery Network
  • Node.js
    Programming Languages
  • Google Sign-In for Websites
    Social Login
  • Slack
    Software Framework
  • X-Content-Type-Options
    Web & Portal Technology
  • Nginx
    Web Servers

TensorOpera AI's Email Address Formats

TensorOpera AI uses at least 2 format(s):
TensorOpera AI Email FormatsExamplePercentage
First@fedml.aiJohn@fedml.ai
64%
FirstLast@fedml.aiJohnDoe@fedml.ai
18%
FL@fedml.aiJD@fedml.ai
9%
Last@fedml.aiDoe@fedml.ai
9%
First@tensoropera.aiJohn@tensoropera.ai
100%

Frequently Asked Questions

What is TensorOpera AI's official website and social media links?

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TensorOpera AI's official website is tensoropera.ai and has social profiles on LinkedInCrunchbase.

What is TensorOpera AI's NAICS code?

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TensorOpera AI's NAICS code is 5112 - Software Publishers.

How many employees does TensorOpera AI have currently?

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As of July 2026, TensorOpera AI has approximately 23 employees across 2 continents, including North AmericaAsia. Key team members include Vice President Of Engineering: D. C.Principal Software Engineer: C. Y.Machine Learning Engineer(ml Infra): X. W.. Explore TensorOpera AI's employee directory with LeadIQ.

What industry does TensorOpera AI belong to?

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TensorOpera AI operates in the Software Development industry.

What technology does TensorOpera AI use?

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TensorOpera AI's tech stack includes iCIMSVarnishFastlyNode.jsGoogle Sign-In for WebsitesSlackX-Content-Type-OptionsNginx.

What is TensorOpera AI's email format?

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TensorOpera AI's email format typically follows the pattern of First@fedml.ai. Find more TensorOpera AI email formats with LeadIQ.

How much funding has TensorOpera AI raised to date?

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As of July 2026, TensorOpera AI has raised $21M in funding. The last funding round occurred on Jun 30, 2023 for $13M.

When was TensorOpera AI founded?

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TensorOpera AI was founded in 2022.
TensorOpera AI logo

TensorOpera AI

Software DevelopmentCalifornia, United States11-50 Employees

TensorOpera AI offers a platform to help developers and enterprises create, deploy, and coordinate autonomous AI agents at scale. The system enables orchestration of multiple agents to collaborate on enterprise tasks and serves as an agent development environment for designing workflows and integrating with common tools. It supports the full lifecycle of AI workloads, including model deployment and serving via APIs, and launching training or inference jobs on serverless or decentralized GPU infrastructure, with facilities for experiment tracking, security, and privacy.

Headquartered in Palo Alto, California, the company targets software developers and organizations aiming to operationalize AI agents within their workflows. It has engaged in partnerships to broaden access to compute resources and ecosystem support for deploying AI agents.

Section iconCompany Overview

NAICS Code
5112 - Software Publishers
Founded
2022
Employees
11-50

Section iconFunding & Financials

  • $21M

    TensorOpera AI has raised a total of $21M of funding over 3 rounds. Their latest funding round was raised on Jun 30, 2023 in the amount of $13Mas a seed.

  • $500M$1B

    TensorOpera AI's revenue is estimated to be in the range of $500M$1B

Section iconFunding & Financials

  • $21M

    TensorOpera AI has raised a total of $21M of funding over 3 rounds. Their latest funding round was raised on Jun 30, 2023 in the amount of $13Mas a seed.

  • $500M$1B

    TensorOpera AI's revenue is estimated to be in the range of $500M$1B

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