What we offer.

Cloud strategy, migration, and infrastructure modernization

We help clients move from fragmented infrastructure to secure, scalable cloud platforms across AWS, Azure, and GCP.

Offerings include cloud readiness assessment, application and workload discovery, migration wave planning, TCO/ROI modeling, landing-zone design, RDS/database migration planning, Snowball/data migration strategy, infrastructure as code, DevSecOps, SRE, cutover planning, and operating model design.

• Cloud Assessment ReportCurrent-state inventory, readiness score, risks, dependencies, and migration candidates.
• Migration RoadmapPrioritized wave plan with business case, timeline, constraints, and delivery POD model.
• Landing Zone & IaCSecure cloud foundation using policy, network, identity, observability, and Terraform patterns.
• Optimization PlanFinOps, reliability, resiliency, security posture, and operational support recommendations.

AI-ready data ecosystems and modern lakehouse platforms

We design single-source-of-truth data foundations that support BI, ML, GenAI, RAG, APIs, and automation.

Our pattern connects operational databases, SaaS applications, streaming events, files, and logs into a governed cloud data lake and lakehouse architecture. We use Snowflake, Databricks, dbt, Airflow, Glue, Kafka, Kinesis, and related services to create Bronze, Silver, and Gold data products with lineage, contracts, and access controls.

• Modern Data BlueprintLayered architecture for ingestion, storage, transformation, governance, analytics, and AI consumption.
• Medallion Data ProductsBronze raw, Silver cleansed, and Gold business-ready data organized for trusted use.
• Tag & Lineage ModelOwnership, classification, PII/PHI flags, retention, access policy, and audit flow.
• AI Readiness PlanFeature pipelines, embeddings, vector DB integration, multimodal data preparation, and model gateway alignment.

GenAI, RAG, and production-grade agentic AI

We move beyond demos by adding governance, validation, auditability, and human escalation to LLM workflows.

Capabilities include enterprise knowledge base design, approved-source retrieval, embeddings and vector pipelines, LangChain/LangGraph-style orchestration, model gateway patterns, Bedrock/OpenAI integration, prompt management, evaluator harnesses, groundedness checks, policy validation, schema validation, and safe tool-action controls.

• RAG Reference StackRetriever, context builder, model gateway, response composer, citations, and observability.
• Guardrails LayerPrompt-injection defense, PII masking, policy filters, confidence thresholds, and escalation rules.
• Validation HarnessGroundedness, schema, policy, hallucination, toxicity, and action-safety evaluations.
• Agentic Workflow DesignRouter, planner, tool permissions, audit event model, and human review handoff.

Cybersecurity, GRC, privacy, and compliance validation

Prasad leads the security practice across security architecture, GRC, risk mitigation, and secure delivery.

Services include cybersecurity capability assessment, enterprise security architecture, cloud security posture, regulatory compliance mapping, AI-powered GRC, continuous compliance, privacy and data governance, ServiceNow/OneTrust/BigID-aligned operating patterns, HITRUST/NIST readiness, OT/ICS security program support, incident response planning, and secure transformation governance.

• Security AssessmentCapability baseline, control maturity, risk register, and remediation priorities.
• Compliance ValidationControl mapping for NIST, HITRUST, HIPAA, GDPR, SOC 2, PCI, and client-specific standards.
• Risk Mitigation PlanOwnership model, remediation roadmap, exception workflow, and executive risk narrative.
• Continuous ComplianceMetrics, evidence, workflow automation, reporting cadence, and operating model.

Managed cloud, data, AI, and security delivery PODs

We support clients and global IT providers with scalable POD-based execution and managed services.

Engagements can be delivered as fixed-price advisory, time-and-material delivery, subcontracted global PODs, or monthly managed services. PODs are structured around architecture, engineering, data, AI, security, DevOps, QA, and operations roles with weekly KPI reporting and executive checkpoints.

• Migration FactoryRepeatable runbooks, wave execution, test/cutover playbooks, and dependency management.
• Managed DataOpsPipeline monitoring, data quality checks, incident response, and release management.
• Cloud OperationsSRE, observability, FinOps, backup, resilience, and security posture management.
• Partner DeliverySubcontracting support for GSIs, MSPs, and consulting firms needing cloud, AI, data, or security depth.

Training, executive workshops, and Cloud Readiness Kit

We help teams build shared language, decision clarity, and delivery readiness before large programs begin.

Training and enablement includes cloud readiness workshops, AI-ready data architecture education, RAG/LLM governance briefings, DevSecOps operating model sessions, cybersecurity risk workshops, and executive business-case support.

• Cloud Readiness KitMaturity assessment, workload inventory, prioritization, TCO/ROI calculator, roadmap, and executive business case.
• Executive WorkshopsCloud, data, AI, and cybersecurity decision sessions for leaders and stakeholders.
• Architecture ClinicsReference architecture review, risk review, cost model, and delivery readiness scoring.
• Team EnablementHands-on learning paths for cloud, data, AI, RAG, DevSecOps, and compliance teams.