Tensorplex Labs
- Company typePrivate
- Founded2023
- HeadquartersSingapore, Singapore
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
Tensorplex Labs firmographics
Firmographics- Name
- Tensorplex Labs
- Legal name
- Tensorplex Labs
- Website
- https://tensorplex.ai
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
Tensorplex Labs industry classification
Industry- Product category
- Decentralized AI Infrastructure
- NAICS
- Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)
- akta.pro primary industry
- DePIN Orchestration, Scheduling & Middleware (resource discovery, job scheduling, workload orchestration) (FSAPALAK)
- akta.pro secondary industries
- Model Hosting, Serving & Inference Platforms (HDAAACAB), RPC / Node API Infrastructure Providers (FSADAKAD)
Keywords
Where Tensorplex Labs is headquartered
LocationHeadquarters
- HQ city
- Singapore
- HQ country
- Singapore
- HQ region
- Asia
Markets served
Tensorplex Labs business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Operations
Revenue model
- Backprop Finance (Acquired): Previously operated a trading terminal for Dynamic TAO subnet alpha tokens with trading volume representing approximately one-third of the Bittensor network. The asset was acquired by General Tensor.
- Validator Infrastructure: Operates validator infrastructure designed to maximise yield while ensuring subnet outputs are valid and accurate, generating revenue through Bittensor network incentives.
Go-to-market motion2 records
Distribution channels3 records
Marketing channels6 records
Tensorplex Labs product offering
Product offeringCore offering
Tensorplex Labs builds applications, infrastructure, and tools to develop and use AI on decentralized networks, primarily Bittensor. Its offerings include validator infrastructure for subnets, the Dojo Network crowdsourcing platform that curates human-feedback datasets, and open-source large language models (such as DOJO-INTERFACE-CODER-7B and Sumo-T9-7B) trained on those datasets. The company also previously operated a liquid staking product (stTAO) and a cross-chain TAO bridge, both of which have entered deprecation.
Product overview
Tensorplex Labs operates a multi-product platform focused on decentralized AI infrastructure built on the Bittensor network. The core product suite includes deprecated staking and bridge products (Tensorplex Stake and Tensorplex TAO Bridge) currently in wind-down with manual withdrawal processing, alongside active validator infrastructure. The company's AI product line centers on the Dojo Network (a Bittensor subnet for distributed human feedback) and associated datasets (Dojo-SFT, Dojo-DPO) used to train models such as DOJO-INTERFACE-CODER-7B and Sumo-T9-7B. Additional products include Tensorplex LST (stTAO liquid staking token), Tensorplex Stream, Tensorplex LLM, and stTAO Intelligence Chips. Backprop Finance, a high-volume decentralized trading platform, was previously operated by Tensorplex Labs but has since been acquired by General Tensor.
Differentiator
Problem solved
Functional benefit
Brands
- Dojo: Open, distributed crowdsourcing platform for human-generated datasets leveraging Bittensor's blockchain-based incentives to reward participants for providing high-quality preference data. Used for training and aligning AI models.
- Backprop Finance
- Tensorplex Validator
- Tensorplex Stake
- Tensorplex LST (stTAO)
- Tensorplex TAO Bridge
- Tensorplex Stream
- Tensorplex LLM
- DOJO-INTERFACE-CODER-7B
Products and services
- DOJO-INTERFACE-CODER-7B 7B-parameter open-source large language model specialized in generating complex, interactive frontend user interfaces (HTML, CSS, JavaScript), aimed at AI developers and researchers building user-facing coding agents.
- Sumo-T9-7B Open-source 7B-parameter research language model benchmarked against TII Falcon 7B and Meta's Llama-2-7b-hf, intended for AI researchers and developers evaluating open-weight models.
- Dojo Network Open, distributed crowdsourcing platform running as a subnet on the Bittensor network that rewards participants with blockchain incentives for providing high-quality human preference data used to align AI models.
- Tensorplex Validator Bittensor validator infrastructure designed to maximise staking yield while validating that subnet outputs (such as Dojo) are accurate, generating revenue through Bittensor network incentives.
- Tensorplex LST (stTAO) Liquid staking token service that lets TAO holders participate in Bittensor staking programmes and earn staking rewards through a tokenized representation (stTAO).
- Tensorplex TAO Bridge Cross-chain bridge that moves TAO and stTAO between the Bittensor network, Ethereum, and Base Network, converting native TAO into a tTAO ERC-20 token to access DeFi and AiFi opportunities. Currently in deprecation with manual withdrawal processing.
Quantifiable outcome
- DOJO-INTERFACE-CODER-7B achieved 18 wins vs 10 losses vs SFT model on 40 interface generation tasks (45% vs 25% win rate)
- +2 more outcomes
Companies that use Tensorplex Labs
Customer profileSegments2 records
Ideal customer profiles2 records
Tensorplex Labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration3 records
AI capability5 records
Feature5 records
Tensorplex Labs partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- Dojo Networkcore infrastructureOpen, distributed crowdsourcing platform for human-generated datasets that Tensorplex leverages for training data curation. Validators are rewarded for verifying submissions that adhere to validation standards, creating high-quality human-aligned datasets for AI training.
Scale indicators3 records
Recent moves6 records
Expansion highlights4 records
Tensorplex Labs competitors and assessment
Company assessmentDirect peers
- Macrocosm AI: A decentralized AI research lab building on Bittensor, developing subnets, models, and AI agents. Directly comparable as a fellow Bittensor-ecosystem AI builder with a similar mix of model training, subnet operation, and open-source releases.
- Ridges AI: Operating an AI subnet on Bittensor focused on code generation/agentic tasks. Highly comparable as a Bittensor subnet operator shipping specialized AI models targeting developer use cases.
- Corcel: Decentralized AI infrastructure project building agentic and API-driven AI products on Bittensor. Comparable as a Bittensor-native AI infrastructure peer offering developer-facing AI services and subnet-based products.
- Yuma (DCG): Digital Currency Group's Bittensor-focused subsidiary operating validators and subnet infrastructure. Directly comparable as a Bittensor validator/operator peer with institutional backing, and notably shares an investor (DCG) with Tensorplex.
Emerging players
- Nous Research: Open-source AI research lab focused on decentralized model training (e.g., Hermes, DisTrO distributed training). Comparable mission of decentralizing AI development and releasing open foundation models, though not Bittensor-based.
- Prime Intellect: Decentralized AI lab building open foundation models with globally distributed compute. Comparable as an emerging decentralized AI infrastructure player pursuing open-source model development outside of centralized hyperscalers.
- Ritual: Decentralized AI infrastructure protocol building an on-chain AI execution layer. Comparable as an emerging player in decentralized AI compute/inference with overlapping goals of making AI accessible outside centralized providers.
Broad incumbents
- io.net: Decentralized GPU compute network for AI training and inference on Solana. Comparable as a broader decentralized AI compute platform, overlapping with Tensorplex's decentralized-AI vision though focused on GPU supply rather than data/subnet infrastructure.
- Render Network: Decentralized GPU rendering and compute network. Comparable as a broader decentralized compute incumbent, sharing the thesis of token-incentivized distributed compute but focused on rendering/AI workloads rather than AI training data.
- Akash Network: Decentralized cloud computing marketplace for GPU and CPU resources. Comparable as a broader decentralized compute incumbent in the AI infrastructure stack, providing an alternative to centralized cloud for AI workloads.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
Tensorplex Labs social profiles
Digital presenceTensorplex Labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
Tensorplex Labs leadership team
Management profileNumber of profiles
Profiles1 record
Tensorplex Labs funding detail
Funding detailFunding overview
Funding rounds1 record
Investors8 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Tensorplex Labs M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Tensorplex Labs
What does Tensorplex Labs do?
Tensorplex Labs builds applications, infrastructure, and tools to develop and use AI on decentralized networks, primarily Bittensor. Its offerings include validator infrastructure for subnets, the Dojo Network crowdsourcing platform that curates human-feedback datasets, and open-source large language models (such as DOJO-INTERFACE-CODER-7B and Sumo-T9-7B) trained on those datasets. The company also previously operated a liquid staking product (stTAO) and a cross-chain TAO bridge, both of which have entered deprecation.
Is Tensorplex Labs a public or private company?
Tensorplex Labs is a private company. It is classified as venture growth investor backed and is currently operating.
When was Tensorplex Labs founded?
Tensorplex Labs was founded in 2023. It employs 11 to 50 people.
Where is Tensorplex Labs based?
Tensorplex Labs is headquartered in Singapore, Singapore, in the Asia region.
How does Tensorplex Labs make money?
Two revenue lines are on record. Backprop Finance (Acquired) is the primary driver. The others are validator Infrastructure.
Who are Tensorplex Labs's main competitors?
Direct peers on record are Macrocosm AI, Ridges AI, Corcel and Yuma (DCG). Emerging players are Nous Research, Prime Intellect and Ritual. Broad incumbents are io.net, Render Network and Akash Network.
Does Tensorplex Labs have an API?
No public API is recorded for Tensorplex Labs.
What industry is Tensorplex Labs in?
Tensorplex Labs's product category is Decentralized AI Infrastructure. Its primary akta.pro industry code is FSAPALAK, DePIN Orchestration, Scheduling & Middleware (resource discovery, job scheduling, workload orchestration), with a secondary code of HDAAACAB, Model Hosting, Serving & Inference Platforms. Its NAICS code is 541511 and its SIC code is 7370.