Our verdict
TensorOps is a small, bootstrapped Lisbon team that has shipped production AI for companies such as ServiceNow, Notion, JFrog, and Seeking Alpha, and in July 2026 OpenAI named it a Select partner (TensorOps). It suits a software or security company that wants senior engineers to put an agent or AI search feature into production within weeks, and it is less suited to a large enterprise that needs a big team or a long change program.
The right buyer
- Software companies adding agents to their product. For Panaya, which wanted a conversational way into its technical documentation, it built and deployed the SeeMore AI agent in three weeks (case studies).
- Fintech and data businesses that cannot tolerate wrong answers. For Seeking Alpha it built a multi-agent router that queries structured data and makes every answer cite its source (case studies).
- Cybersecurity and healthcare teams. It built a multi-agent remediation system for Armis and a HIPAA-compliant analysis agent for MDClone, delivered as an MVP in three months (case studies).
Reasons to look elsewhere
- With about 17 employees, it is a small team for a large or long program.
- It builds AI agents, search, and models, so a buyer who needs a data platform migration or managed cloud operations should look elsewhere.
TensorOps, At A High Level
Gad Benram and Cláudio Lemos founded and bootstrapped TensorOps in 2022, and the systems it has deployed reach hundreds of millions of end users daily, by its own count (TensorOps). It plans to expand in the United States and Israel (TensorOps).
- Based in Lisbon, Portugal (TensorOps).
- About 17 employees, according to its company profile on The Org; we estimate annual revenue at $2 million to $2.5 million (The Org).
- An OpenAI Select partner since July 24, 2026, and a Google Cloud and AWS partner; it deploys on AWS, Google Cloud, and Azure (TensorOps; The Org).
- Says it has served 11 unicorns and Nasdaq-listed companies and that 95% of validated ideas reach production within two months (homepage).
Scores by criterion
We scored TensorOps from its OpenAI partner announcement, its case studies, its homepage, and its company profile. Technical depth scores highest; stability scores lowest because it is a young firm of about 17 people.
| Criterion | Weight | Score | Basis |
|---|---|---|---|
| Production track record | 20% | 7.0 | Named production systems for Armis, Seeking Alpha, MDClone, Panaya, and others. |
| Technical depth | 15% | 7.5 | Multi-agent systems, RAG, fine-tuning, distillation, and applied ML. |
| Industry depth | 10% | 6.5 | Cybersecurity, fintech, healthtech, software, retail, and construction. |
| Delivery model and handoff | 15% | 6.5 | Senior engineers ship working systems in weeks; offers staff AI training. |
| Commercial clarity | 10% | 5.5 | No published rates or minimums. |
| Platform independence | 10% | 7.0 | OpenAI Select partner, also AWS and Google Cloud; deploys on three clouds. |
| Stability and scale | 10% | 5.0 | Founded 2022, bootstrapped, about 17 employees. |
| Independent evidence | 10% | 6.6 | OpenAI Select status and named public client cases. |
| Overall | 100% | 6.6 | Weighted average |
Where TensorOps fits
TensorOps is used by software, security, and fintech companies, many of them unicorns or Nasdaq-listed, that want a senior team to turn an AI idea into a production agent or search feature quickly. On price it is a boutique engineering firm with Portuguese costs, below US AI studios. Competitors on this site include Neurons Lab and Vstorm for agent builds, Fuzzy Labs for production ML, and Tribe AI for senior AI engineers on demand.
| Need | Fit | Why |
|---|---|---|
| A production AI agent inside a software product | Strong | It shipped Panaya’s SeeMore agent in three weeks. |
| Grounded AI search over proprietary data | Strong | It built Ask Seeking Alpha with source citations on every answer. |
| A large enterprise transformation | Weak | Its team of about 17 is small for that scale. |
| Fine-tuning a model on private data | Good | It fine-tunes, distills, and aligns models on client data. |
What clients and leaders say
TensorOps’s leaders and clients describe its work in published announcements. One buyer concern is written from public facts about the firm.
“Our customers don’t want a roadmap, they want working AI in weeks.”
“The winners in enterprise AI won’t be the firms with the best slides, but the ones who ship to production fastest.”
“Their engineers were excellent and fast, but the team is small, so we kept the scope to one agent at a time.”
Where customer reviews couldn’t be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums and product documentation. Based on: TensorOps’ company profile, which lists about 17 employees, and its case studies.
Who leads TensorOps
Cláudio Lemos co-founded TensorOps with Gad Benram in 2022 and is its CEO (TensorOps).
