Quick answers to frequently asked questions about our AI delivery model, platform capabilities and support. For anything not covered below, contact support@caelustechnologies.com.
Q: How do we start an engagement?
A: Most clients begin with a Capability & Readiness Assessment that benchmarks maturity, prioritizes high‑value use cases, and outlines an execution roadmap.
Q: Do you offer pilots or proofs of value?
A: Yes. We scope focused pilots (6–12 weeks) to validate technical feasibility, data readiness and quantified value before scale investment.
Q: What technologies do you work with?
A: We are cloud‑agnostic and commonly build on major hyperscale platforms. We support modern data stacks (lakehouse, streaming), MLOps frameworks, vector and feature stores, container orchestration, and observability tooling.
Q: How do you handle security and compliance?
A: We embed secure‑by‑design patterns: IAM least privilege, network segmentation, encryption, lineage, policy as code, monitoring and audit telemetry aligned with ISO/SOC readiness practices.
Q: Do you build with generative AI / LLMs?
A: Yes. We deliver use cases leveraging retrieval‑augmented generation (RAG), fine‑tuned domain models, prompt orchestration, guardrails, safety filters and evaluation frameworks.
Q: How is model governance enforced?
A: Automated checks for bias, drift, performance baselines, lineage, approval workflows and monitoring dashboards integrated into CI/CD and deployment gates.
Q: What team roles are included?
A: Typical pods blend product, data, ML engineering, platform, security, design and adoption specialists. We tailor composition by phase (discover, architect, deploy, optimize).
Q: How is value measured?
A: We baseline KPIs (cost, cycle time, accuracy, uptime, adoption) and track realized vs. forecast value. Dashboards make ROI and operational health transparent.
Q: What support options exist post‑deployment?
A: Flexible: run support, reliability engineering, model performance monitoring and incremental feature iteration. SLAs defined per environment tier.
Q: How do I report an issue?
A: Email support@caelustechnologies.com with environment, impact, logs (if available) and reproduction steps. Critical issues receive priority triage.
Q: Do you train models on client data without consent?
A: No. Client data remains within governed environments. Any cross‑client learning uses anonymized or synthetic aggregates with contractual controls.
Q: How can I request data deletion?
A: Submit requests to privacy@caelustechnologies.com. We process in accordance with applicable regulations.