Sold by: Datum Consulting
"Datum GenAI Accelerator" takes you from idea to production‑ready proof of concept on AWS. Through targeted discovery, use‑case prioritization, and hands‑on development with Amazon Bedrock, SageMaker, and LangChain, we validate generative‑AI value in weeks—not months. The engagement delivers a working PoC, reusable IaC assets, and an adoption roadmap, while embedding security, governance, and cost controls so your team can confidently scale GenAI initiatives.
Overview
Generative AI can unlock new revenue streams, automate knowledge work, and elevate customer experiences—but only when purpose‑built for real problems. Datum’s GenAI Accelerator zeroes in on high‑impact use cases, rapid‑fires technical validation, and hands you a production‑ready PoC backed by a clear ROI narrative, enabling faster executive buy‑in and quicker time‑to‑market.
Datum leverages AWS Bedrock for model access, SageMaker JumpStart for fine‑tuning, and LangChain/LangGraph for agent orchestration. Infrastructure‑as‑Code (Terraform/CDK), CI/CD pipelines, and built‑in observability ensure secure, repeatable deployments. Guardrails for prompt safety, data privacy, and cost governance are integrated from day one.
What Customers Get
- Executive & technical discovery workshops
- Prioritized use‑case catalog with ROI estimates
- Secure reference architecture & IaC templates
- Functional PoC (chatbot, RAG, or custom workflow)
- CI/CD pipeline and deployment guides
- Knowledge‑transfer sessions & runbooks
- Roadmap for production scaling and optimization
Approach & Steps
- Discover & Align – Identify objectives, data assets, and success metrics
- Design & Plan – Select models, craft prompt strategy, draft architecture
- Build PoC – Implement data connectors, orchestration, and guardrails
- Validate & Optimize – Measure accuracy, latency, and cost; refine solution
- Handover & Roadmap – Transfer knowledge, deliver assets, plan phased rollout
Highlights
- Datum’s structured “Idea‑to‑PoC” framework ensures GenAI capabilities map directly to measurable business results.
- AWS‑certified architects embed IAM, data encryption, and prompt‑safety guardrails, satisfying stringent governance without hindering innovation.
- Proprietary IaC modules, prompt libraries, and evaluation dashboards cut time‑to‑value and hand customers a maintainable foundation for future GenAI projects.
Details
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Delivery method
Deployed on AWS
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Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
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Support
Vendor support
To find out more, please reach out to contacts@datumhq.com , or enquire via our website datumhq.com