

We Transform Enterprises Through AI, Engineering & Design Excellence
Caelus delivers production-grade AI and modern platform capabilities through a multidisciplinary model blending data, engineering and human‑centered design.
We focus on measurable value realization: time‑to‑production, governance maturity, platform scalability and user adoption.
AI-First Approach
Expert Team
24/7 Support
Enterprise Grade
Enterprise AI Capability Pillars
Integrated pillars that compound value: platform foundations, high‑impact use cases, governed operations and adoption engineering.
Data & AI Platform
- Modern data stack & lakehouse
- Feature stores & vector DBs
- Streaming & real‑time analytics
- Observability & FinOps
Applied Intelligence
- GenAI & LLM solutions
- Computer vision & NLP
- Recommendation & optimization
- Decision intelligence
Intelligent Automation
- Cognitive & event automation
- Process mining & re‑engineering
- Agent orchestration
- Human‑in‑the‑loop workflows
Responsible & Secure AI
- Model governance & risk
- Bias, fairness & explainability
- Data privacy & lineage
- Security & compliance guardrails
Experience & Adoption
- Human‑centered design
- Change & enablement
- Insight productization
- Adoption analytics
Platform Engineering
- MLOps & model lifecycle
- DevEx & internal platforms
- Scalability & resiliency
- Automation & SRE practices
Leading AI Innovation with Proven Enterprise Delivery
Our frameworks compress cycle time from idea to production while embedding governance, security and performance optimization.
500
Enterprise Clients
1500
AI Projects Delivered

Outcomes That Compound
Representative engagements showing quantified value & enterprise scale delivery.
Inventory Optimization
40% Cost Reduction
Demand forecasting MLMedical Imaging
85% Faster Triage
Vision diagnostics workflowPredictive Maintenance
$2.3M Annual Savings
Downtime reductionFraud Detection
99.7% Accuracy
Real‑time risk scoringExecution Model Built For Speed & Governance
Structured approach compresses time-to-value while embedding risk controls.
1. Discover
Use case framing, value modeling & baseline maturity.
2–4 wks2. Architect
Target architecture, data & governance blueprint.
Design3. Deploy
Model & platform build-out, integration & release.
MVP4. Optimize
Monitoring, cost & performance tuning, scaling.
ScaleResponsible, Secure & Governed
Built‑in governance and responsible AI patterns ensure compliant, auditable outcomes.
Security & Compliance
Principle of least privilege, policy-as-code, audit telemetry.
ISO / SOC readiness patternsFrom Assessment To Compounding Impact
Structured journey accelerates first production wins then scales adoption, governance maturity and platform leverage.
Discover & Benchmark
Use case ideation, value sizing, capability baseline & risk scan.
2–4 wksArchitecture & Pilot
Target architecture, data pathways, initial guardrails & MVP build.
Design + MVPIndustrialize & Govern
Platform hardening, automated CI/CD, model & data governance.
ScaleOptimize & Compound
Cost & performance tuning, portfolio expansion, adoption analytics.
ContinuousTime to First Value
Less than twelve weeks
Pilot to productionAdoption Acceleration
Three times acceleration
Use cases year 1→2Governance Maturity
Forty five percent improvement
Unified controlsCost Efficiency
Twenty eight percent reduction
Platform run-rateAccelerate Your AI Readiness
Baseline your capability, surface quick wins & build a sequenced roadmap in under 4 weeks.