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A Unified Operating Model for Cloud, Data, and AI

Gain real-time visibility into AI performance, cost, quality, and reliability, across every pipeline, model, agent, and cloud environment.

Start with an AI Readiness Assessment
Dashboard showing AI readiness score of 72 out of 100 indicating moderate readiness, data readiness at 85, business objectives at 65, total LLM cost of $8,945 up 12% from last week, prompt library count at 34, and active pipelines at 27.

AWS Partner Network

Enterprise Security & Compliance

Trusted by Engineering Leaders

Modernizing AI, data, and cloud foundations for regulated industries

The hardest part of AI isn’t the models, it’s everything around them. Most organizations still lack a unified way to measure performance, track cost, govern data, and move workloads into production... We fix that

Transform AI Exploration Into Measurable Business Impact

We combine engineering expertise with platform-powered delivery to turn your AI investment into a competitive advantage

Assessment

Available Today

  • Diagnostic for cloud, data, and AI
  • Maturity scoring
  • Roadmap generation

Platform

Lens (Early Access)

  • Unified visibility
  • Governance and maturity
  • Operational backbone for all services

Services

Professional + Managed

  • Engineering execution
  • Production-grade operations
  • Continuous improvement
CloudOps

AI Requires Solid Cloud Foundations

See how AI workloads impact your cloud environment and spend. Lens provides the visibility and recommendations needed to keep infrastructure efficient, governed, and scalable.

Understand how every AI project impacts spend

Built-in FinOps components for attribution and forecasting

Guardrails for security, reliability, and cost control

Dashboard showing FinOps budget used at 34% with $67,150 total spend and 2 alerts, Guardrails compliance at 87% with 24 active rules and 3 violations, Access Management with 38 of 45 active users, 12 roles, and 5 pending items, and Environments uptime at 99.2% with 6 healthy, 1 degraded, and 1 down, plus 2 issues.
Recent Events dashboard listing four jobs: customer_analytics_etl running and started successfully on 10/7/2025, daily_sales_aggregation succeeded and completed in 245 seconds, inventory_reconciliation failed due to schema mismatch after 15 seconds, and customer_data_quality_check warning detected data quality issues at 10:10 AM.
DataOps

Reliable Data for AI at Scale

Bridge the gap between raw data and production-grade AI by combining data pipelines, governance frameworks, and observability practices into one streamlined operating model.

Governance and observability ensure reliable insights

Built-in compliance and PII protection safeguard sensitive data

Unified data foundation improves collaboration

GenAIOps

Deep Insight Into How Your AI Applications Behave

GenAIOps provides trace-level and session-level visibility for GenAI applications, helping teams understand model behavior, token consumption, latency, and overall performance.

Track model behavior with trace-level and session-level monitoring

Experiment with prompts using a built-in Prompt Catalogue

See how datasets are used across apps and embedding workflows

Pie chart showing model usage distribution with GPT-4o at 42%, GPT-5.1 at 35%, Claude 4.5 Sonnet at 15%, and Llama-3 at 8%.
Three overlapping dark-themed interface cards showing production tools: Database Query v2.4 with 8,420 usage and 245ms latency, Web Search v3.1 with 12,350 usage and 1250ms latency, and Code Executor v1.8 with 5,670 usage, 94.8% success rate, 890ms latency, last used on 10/7/2025, each with usage details and tags.
AgentOps

Full Observability and Governance for Agentic Workflows

AgentOps helps engineering teams understand how agents think, what tools they call, where they fail, and how to keep them reliable and safe.

Trace-level visibility into agent steps, tool calls, and performance

Guardrails and content filtering to ensure safe, governed agent behavior

Automatic detection of failures, timeouts, and hallucinations

Get Your AI Readiness Assessment

Reveal visibility gaps, cost drivers, production blockers, and readiness risks, all mapped to a prioritized roadmap.

Start Your AI Readiness Assessment
AI Readiness Assessment showing an overall score of 55 out of 100 indicating moderate readiness, with category breakdowns including Data Readiness at 50, Business Objectives at 70, and Governance Compliance at 60.