Industry workspace
Healthcare & Life Sciences AI Platform
A workspace designed for people, LLMs, and agents — bringing together MCP servers, agent catalogs, and domain intelligence tailored for Healthcare & Life Sciences.
What you get
Curated agents, MCP servers, and playbooks mapped to real workflows — ready for enterprise adoption.
How it’s delivered
Versioned releases with clear ownership, governance controls, and audit-ready operational metadata.
Workspace summary
Default subscriptions and recommended starting points.
Agents
Catalog
Use cases
Catalog
Research
Playbooks
Governance
Policies
Case studies
Real outcomes in Healthcare & Life Sciences
Challenges, solutions, and measurable outcomes drawn from Colaberry industry work.
2 use cases
Manual bone age assessments were slow, labor-intensive, and reliant…
Challenge
- Manual bone age assessments were slow, labor-intensive, and reliant on scarce radiology expertise, delaying critical diagnostics
Colaberry’s solution
- Deep learning models (ResNet50, InceptionV3) trained on 12,000+ images with data augmentation and GCP-based TensorFlow infrastructure
- Image optimization, iterative model training, and MAE validation to match expert accuracy
Outcomes
- Expert-Level Accuracy: AI predictions achieved MAE comparable to experienced radiologists
- Faster Diagnostics: Reduced manual analysis time, enabling quicker patient care decisions
- Scalable Tool: Foundation for expanding the dataset to include ethnicity-specific insights
Manual DNA genotyping workflows caused delays, errors, and…
Challenge
- Manual DNA genotyping workflows caused delays, errors, and bottlenecks in labs handling 2M+ samples/year, limiting research scalability and profitability
Colaberry’s solution
- AWS Cloud Infrastructure: Step Functions, Lambda, ECS, and EC2 for scalable workflow orchestration
- Real-Time Data Pipelines: Kafka and SQS/SNS for streaming and notifications
- Event-driven architecture for instant QC adjustments
- Containerized microservices for independent deployment and scaling
- Accelerated genetic research for climate-resilient crop development, benefiting smallholder farmers
- 50% reduction in QC time (from 1.4 days to <0.8 days)
- 10 minutes/sample processing time (vs. hours previously), doubling lab throughput
- 99.9% accuracy in automated QC, reducing retests and consumable waste by 30%
- 40% lower labor costs via automation, freeing technicians for high-value research
Industry delivery
Move from catalog to outcome with Healthcare & Life Sciences AI
Combine industry context, governed agents, and MCP integrations into repeatable playbooks that teams can deploy with confidence.