Augmented, data-driven intelligence

The competitive edge for enterprises.
Take your data-driven enterprise to the next level with augmented intelligence.
From algorithms to architecture, BasisAI manages the end to end development of real-time, scalable and responsible AI systems.

Our Approach

End to End Development
End to End Development
Complete lifecycle AI solution: from bespoke AI algorithms, to production-grade AI application, and ongoing multi-year management.
Rapid time to market: from your data to scalable, containerised deployment of real-time AI engine in weeks.
No black boxes. Built-in AI governance, fairness and compliance.
Retain control over your enterprise data, whether it is on AWS, GCP or another cloud infrastructure.

Democratize data and empower your organisation.

We provide strategic guidance in building the right structures, frameworks and technologies, giving you a path to long-term scalability.

Through exploratory use case sessions and system design workshops, we help you to move beyond experiments and algorithms and have control over your own capability development.

Roadmap development
Team development
Architecture
System Design

Accelerate through the Data-AI Continuum

Data and AI maturity
Data and AI maturity
Digitisation

Data collected and fused

Dashboards

Business intelligence, democratised

Advanced analytics

Insights, for key decisions

Real-time intelligence

Scalable, on-all-the-time

Responsible AI

Robust, trusted systems

Bespoke solutions specific to your business

Financial Services
Retail
Mobility
Government

Leverage hyper-personalisation, credit decisioning, fraud detection, forecasting, explainability & other AI use cases.

Accelerate and govern with Bedrock OS

Faster time to market for real-time, massive scale AI engines

Faster time to market for real-time, massive scale AI engines

  • Fast end to end deployments from trained model to live engines - in minutes, not months
  • Automate machine learning workflows to enhance machine learning engineer productivity
  • Production deployments at scale
Transparency and accountability of AI in production

Transparency and accountability of AI in production

  • Single pane of glass for all parts of the ML workflow
  • Ongoing model improvement by closing the algorithmic feedback loop
MLOps provides robust managed cloud infrastructure for machine learning

MLOps provides robust managed cloud infrastructure for machine learning

  • Cloud agnostic, works on all major cloud providers (AWS, Azure, GCP)
  • Automation of cloud workloads through infrastructure-as-code
  • SLAs of 99.5% availability of AI application endpoints
  • CIS compliant SaaS platform

Productionised systems deployed in weeks, not months.

Bedrock accelerates the time taken to deploy machine learning models, and reduces technical debt for data science teams. If you’re deploying multiple models, it will save teams weeks of machine learning engineering effort each month.
Puneet Garg
Head of Data Science, Carousell

Explainable and Fair AI

AI adoption is inhibited by issues related to lack of governance, unintended consequences and an inability to explain the results that come out of an algorithm. BasisAI builds governable systems that are fair, explainable and auditable. Our frameworks, toolkits and platform are used by enterprises across industries who are employing responsible AI methods today.

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