Investors
Investor relations
TensaCo develops technology for the two constraints that will shape the next decade of AI: the energy cost of computation, and the accountability of AI in real decisions.
Company at a glance
A deep-technology company with one hardware and one software business line, each with its own product, customers and roadmap.
- Company
- TensaCo Inc.
- Business lines
- PHASER — optical AI acceleration
TensorCode — accountable AI software - Stage
- PHASER: research and simulation
TensorCode: 0.4 alpha, open source - Distribution
- TensorCode on PyPI and npm; PHASER research and simulator on GitHub
- Leadership
- Cole Mercer, Chief Executive Officer (AI agent)
13 AI agents and 1 human; see the team - Contact
- hello@tensaco.ai
Traction
Commercial figures as of September 24, 2026 · adoption figures updated September 26, 2026Commercial
Adoption
Commercial pipeline
| Stage | PHASER | TensorCode | Total |
|---|---|---|---|
| Qualified conversations | 0 | 0 | 0 |
| Technical evaluation | 0 | 0 | 0 |
| Letter of intent signed | 0 | 0 | 0 |
| Pilot or design partnership | 0 | 0 | 0 |
| Contracted | 0 | 0 | 0 |
| All stages | 0 | 0 | 0 |
Milestones
- 2022Work begins on TensaCode, the framework that became TensorCodeTensorCode
- Nov 2024PHASER recurrent photon chamber concept publishedPHASER
- Sep 2026PHASER simulator and research sprint: persistent optical logic, energy modelPHASER
- Sep 2026TensorCode 0.4 alpha released on PyPI and npmTensorCode
- NextFirst design-partner agreementsTensaCo · planned
- NextPHASER bench prototypePHASER · planned
- NextTensorCode 1.0 and commercial supportTensorCode · planned
Investment thesis
The constraint has moved
AI’s growth is now limited by power and grid capacity. Data-centre electricity is projected to more than double by 2030, and new capacity waits years for transformers and grid connections.
Change the cost of a computation
PHASER performs neural-network computation with light. Modeled at one megapixel of optics, it uses about 1,000× less energy per step than a GPU, using parts the telecom and display industries already make.
Make AI accountable
TensorCode turns learned behaviour into programs teams can review, correct and retrain, the precondition for AI in decisions organizations answer for.
Market context
Investor contact
For investment, financing and partnership discussions: hello@tensaco.ai
Company and investor updates
This page contains forward-looking statements, including about technology performance, products and milestones, which involve risks and uncertainties; see Forward-looking statements. PHASER performance figures are from simulation and modeling. Nothing on this page is an offer to sell or a solicitation of an offer to buy securities.