Accelerators that cut time to value

Pre-packaged solutions designed to get you from idea to production faster. Proven frameworks, battle-tested patterns, and clear deliverables.

RAG Readiness Audit

2 weeks

Validate your retrieval strategy before building. Get a comprehensive assessment of your data, architecture recommendations, and a realistic cost model.

Deliverables:

  • Data quality assessment and remediation plan
  • Recommended architecture with vendor comparison
  • Cost model with projected scaling expenses
  • Implementation roadmap with risk mitigation

Agent Lab

6 weeks

Build confidence in autonomous AI with a working proof-of-concept. Multi-agent systems designed for your specific workflow with full orchestration.

Deliverables:

  • Working multi-agent prototype with your data
  • Orchestration framework with error handling
  • Performance benchmarks and optimization plan
  • Production-ready codebase and documentation

Cost Guard

1 sprint

Cut your LLM costs by 40-70% without sacrificing quality. Token optimization, intelligent caching, and model selection strategy.

Deliverables:

  • Current usage audit with optimization opportunities
  • Prompt engineering and token reduction strategy
  • Semantic caching implementation
  • Model routing strategy for quality vs. cost

LLMOps Starter Kit

8 weeks

Production-grade operations from day one. Observability, evaluation pipelines, and CI/CD configured for your LLM applications.

Deliverables:

  • Full observability stack with custom dashboards
  • Automated evaluation framework with metrics
  • CI/CD pipelines for prompt and model deployment
  • Incident response playbooks and alerting

Eval Framework

4 weeks

Stop guessing if your LLM is improving. Custom evaluation pipelines with domain-specific metrics that matter to your business.

Deliverables:

  • Custom evaluation suite for your use case
  • Golden dataset with edge cases and baselines
  • Automated regression testing in CI/CD
  • Reporting dashboard with trend analysis

Production Readiness Review

2 weeks

Ship with confidence. Comprehensive security, reliability, and performance audit before you go live with your AI application.

Deliverables:

  • Security audit with remediation checklist
  • Performance testing under production load
  • Disaster recovery and rollback procedures
  • Compliance review and documentation

Powered by Enterprise-Grade Infrastructure

Every accelerator is deployed on our production-grade cloud-native platform, built specifically for enterprise AI workloads that demand scale, reliability, and security.

Cloud-Native Orchestration

  • • Container-based workload management with automatic scaling
  • • Self-healing infrastructure with automatic failure recovery
  • • Multi-environment deployment pipelines (dev, staging, production)
  • • Resource optimization and cost management at scale

GitOps & Automation

  • • Declarative infrastructure management with version control
  • • Automated deployment workflows with instant rollback
  • • Complex data pipeline orchestration for ML and analytics
  • • Continuous delivery with compliance and security gates

Ready to accelerate your AI journey?

Let's discuss which accelerator fits your timeline and objectives.