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Expert integration, augmentation, and ingestion powered by AWS expertise for reliable, scalable outcomes.

How you integrate, augment, and ingest data is critical to the success of your AI project. Preparing data for AI is essential to achieving reliable outcomes and maintaining ongoing accuracy.

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Data Readiness for AI

Accuracy starts with the data

Data readiness is the foundation of AI accuracy.

Leveraging our extensive experience with data integration, AWS, and ESBs, we streamline ingestion and augmentation for maximum performance. Real-time and batch data handling ensure versatility, while automated quality assurance maintains clean, consistent inputs. Optimized pipelines enable efficient data flow and storage, driving reliable AI outcomes.

Data Integration and Augmentation

Combine data from multiple sources and enrich it to enhance AI model performance.

Real-Time and Pre-Processed Data Ingestion

Enable both real-time and batch data handling to support diverse AI use cases.

Data Quality Assurance

Validate and clean data to minimize errors and ensure consistent model outputs.

Data Pipeline Optimization

Automate and streamline data flow for efficient processing and storage.

RSL Art Union adopt DevOps approach

Watch Luke Traini, CEO at RSL Art Union describe why he made the decision to move to DevOps and partner with base2Services.

Duration: 3:02

"Much like the evolution from ‘going paperless,’ these AI capabilities have transformed traditional processes, allowing analysts to focus on strategy rather than administration. By automating transcription, analysis, and insights, Calibre has unlocked new efficiencies and accelerated their customers’ ability to make informed decisions."

David Snowsill, Managing Director, Calibre
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Managed AI Services

Ideal for Businesses running AI workloads in production who need 24/7 support, proactive monitoring, and AI governance.


AI Infrastructure Management

Fully managed AI environments, from SageMaker instances to cloud automation for training and inference.

Ongoing Model Monitoring & Accuracy Validation

Ensuring models perform reliably with GuardRails for AI accuracy.

DevOps

We're here to bounce ideas off of for designing, planning, implementing or configuring your system.

Continuous Integration

Everything the developers build can be tested, and only deployed to production when you are ready. We manage the process for you to get releases out fast and eliminate errors.

24x7 Support

First line support because we stick by what we do. We improve your systems so you don't get the same problems twice.

Security & Compliance Management

Automated policy enforcement and continuous validation of AI security measures.

Active Communication

Open communication using Slack. We are actively and constantly communicating with your development team to build and constantly improve your AI solution.

Monitoring

Ongoing success and health checks of your system to pick up trends early to prevent issues in the first place. We actively monitor and check the health of your system, infrastructure, application security, log files and edge services.

Removing pain points

Constantly removing the pain points that often come with developing AI solutions on the cloud. We give the ability to save with tearing down of environments, improving transparency and leveraging services that make it easier to focus on what you are trying to build.

Cost Optimization & Scaling

Managing cloud costs to ensure AI investments remain financially viable.

Dedication, Expertise and Talent

Not just from one person but a team of people with various Ops skills. You will gain access to our knowledge of Artifical Intelligence, Amazon Web Services and CI technology. Finding and retaining in-house AI staff is a challenge.

It's a fixed fee

We do all this, the consulting, the support, the automation, the infrastructure code, the ongoing improvements and the constant communications with your developers at a fixed fee.