Bedrock
Bedrock is an end-to-end machine learning platform that orchestrates the prototype to production cycle in minutes, not months.
Bedrock allows you to instrument and peer inside the “black box” of AI systems within your organisation. Experiment with algorithms and deploy live engines with a single platform. Achieve explainability, maintainability, and auditability - automatically in-built into the systems you deploy.
The machine learning platform for a data-driven enterprise to deploy AI with faster time to impact
Empower your data teams to make impact
Deliver performant software to power the business from the get-go instead of getting stuck with research and experimentation.
Designed for data scientists
Full flexibility to choose programming languages and frameworks to build, deploy and monitor models, without the need for full stack engineering skills.
Do more with lean AI teams
Scaleable, distributed cloud infrastructure that is managed and automated, so models get to production without taxing your IT Ops teams.
Best-in-class machine learning
Deploy with guide-rails for best-in-class machine learning engineering practice for your teams.
Bedrock orchestrates, accelerates and governs the end-to-end modelling process.
Bedrock is the command centre that sits at the heart of the end-to-end machine learning development, deployment, and continuous learning process. Bedrock provides guided workflows through user interfaces and APIs so that the entire process is permissioned and encourages accountability and maintainability.
No more black-boxes
Bedrock enables governance-by-design of AI systems so that enterprises can build trustworthy AI.
Why Bedrock?
Faster time-to-impact for machine learning in your enterprise
Remove frustration from your data scientists, allow them to focus on what they do best
Move from experimentation to production smoothly using notebooks in a common environment with model training pipelines and deployment. Easily manage all aspects of the model lifecycle, including code, model parameters, and artefacts. Automate scheduled re-training of machine learning models.
Achieve AI governance-by-design
Early detection for when things go wrong
Retain visibility through alerts when tasks complete or fail. Continuous monitoring of data drift means that data scientists know when to re-train stale models. Validate predictions against the ground truth, to close the feedback loop.
Power your organisation with real-time data-driven decision making.
Build trusted intelligence with governance by design
We hear your
challenges in deploying
and scaling AI.
If you are a technical leader, when was the last time you progressed from model design to deployment and productionisation without major setbacks? Generic AI solutions are quick to deploy, but hard to customise. Models built on lab-bench tools are often “thrown over the wall”. It’s hard to track the ongoing performance of these models and know when they are not performing as intended.
As a business executive, do you ever ask yourself when you will reap the full benefits of your AI strategy? It’s hard to find the right mix of talent to build, scale and integrate AI into your core business processes. Don’t you wish you can unbox the ‘black box’ of AI and explain your AI results in a transparent manner? In an already uncertain world, we want to harness the power of AI to increase certainty and reduce risk, not add to it.
We can help you deploy, govern and scale AI rapidly to achieve business impact.