Our Solution
Model Serving
We enable small AI startups, labs and even individual experts the ability to monetize their models without scaling to a 40+ person company and doing lengthy market fit canvasing across multiple, serial customer engagements.
Crowdsourced Million Dollar Models
Current state-of-the-art models can cost over $10 Million. By bringing a market of connected players under one API, we enable the development and training of these million dollar models to be crowdsourced.
Data Privacy
By enabling AI providers to train models directly within our platform, we enable private data collaborations, helping bring a larger range of consumers into the market with proprietary or sensitive data.
Public Profit Sharing
We commit 10% of all market transactions be used to fund non-profit organizations in conducting research on the broader impact of AI in industry, democratically setting policies for AI fair use, and disseminating funds to support programs in line with those policies.
The Tegi Marketplace
We connect AI consumers with AI producers through an open, public exchange, allowing any AI producer to compete for any consumer contract through the Tegi marketplace
For AI Providers
For AI Consumers
Remove market fit search. We give clear financial targets to steer AI development as well as a marketplace to directly monetize products.
AI Consultancy. We work closely with first-time AI Consumers and provide AI consultancy as needed, including determining best practices and steps required to incorporate AI into their product pipelines.
Lifecycle management. We host and automatically deploy submitted AI platforms, including monetizing and handling payment for Provider AI’s on their behalf.
Identify and benchmark state-of-the-art. For Consumers trying AI services for the first time, we help determine what is state-of-the-art for their field and set initial expectations on continued development.
IP ownership. We guarantee IP ownership for AI’s running on our own servers, and offer a standard REST API for companies wishing to participate in the market while using their own servers.
Guarantee minimum performance. We allow any fixed term contract to have minimum performance criteria which must be met before initiating the contract.
Set contract periods. Contracts between consumers and providers are set for fixed (nominally 3-month) periods, guaranteeing a more predictable revenue stream for providers.
Automatically upgrade AI systems. We monitor on-going contracts and conduct A/B testing to automatically substitute better models into the client pipeline at the end of every contract period.
Set upfront compensation. We award performance-based compensation to help offset upfront development costs for high-quality models.
Manage the entire AI lifecycle. We manage the entire lifecycle and work with providers to handle model experimentation, deployment, scaling, versioning, and monitoring inside a single platform for a push-button ready AI solution.
Fair and open competition. We regulate consumer contracts and publish public leaderboards for each contract, including approximate pay level and performance of the currently deployed model.
Single API. We offer a single, standardized API interface for all AI that a consumer may wish to incorporate now and in the future.
Access to large, private data. Data is the new oil. We provide client-specific data that is not released directly to the public, enabling our AI Providers the ability to compete against large players with significant private data banks of their own.
Micro partnerships. As we handle the entire ML lifecycle of any deployed AI, we guarantee continued access even in the event that the AI producer becomes insolvent or unable to serve their AI system.
Market research and statistics. We publish data for consumer clients currently on the platform to aid providers in determining market fit and potential monetary compensation for specializing their AI for new use cases.
Ready-made bank of AI algorithms. As we scale we create carry-over from use case to use case such that we are able to pre-train a set of AI algorithms to new consumer pipelines for use on Day One.
Automated transfer. For providers training AI through our platform, those models may be trained and fine-tuned for novel use cases automatically.
Data privacy. We allow providers to train directly on our platform servers, allowing consumers to receive custom AI models without publicly releasing proprietary or sensitive data.