From GPU cloud brokerage to VAPT to MACH architecture — browse our full service catalog. Every engagement is vendor-neutral, fixed-fee, and ends with code, docs, and runbooks you own.
GPU cloud brokerage, LLM fine-tuning, RAG, and MLOps for production AI.
Compare H100, A100, L40S, and consumer GPU pricing across 8+ providers — benchmarked against your actual workload, not affiliate payouts.
Adapt open-source LLMs (Llama, Mistral, Qwen, DeepSeek) to your domain — with LoRA, QLoRA, instruction tuning, and safe deployment guardrails.
Production retrieval-augmented generation with vector stores, hybrid search, reranking, citation, and observability — so you can trust the answers.
End-to-end ML pipelines — experiment tracking, model registry, feature stores, CI/CD for models, drift detection, and rollback. Built on Kubernetes.
Vendor-neutral hosting comparison, TCO modeling, and hybrid-cloud architecture.
Side-by-side comparison of shared, VPS, cloud, dedicated, GPU, and colocation across major providers — with specs, pricing, and trade-offs.
We evaluate your workloads, data, security posture, and team readiness to determine which apps should move to cloud — and which should stay.
3- and 5-year total cost of ownership models across providers — including compute, storage, egress, support, and hidden costs sales reps leave out.
Design hybrid topologies that put latency-sensitive workloads on dedicated hardware and burstable workloads on cloud — with secure networking between them.
Infrastructure, application, data, and email migration with zero-drama cutover.
Migrate VMs, storage, and networking from one provider to another — with zero-drama cutover, rollback, and post-migration optimization.
Move applications between clouds, providers, or architectures — with refactoring options from lift-and-shift to full replatforming.
Migrate databases, data warehouses, and data lakes with replication, validation, and zero-data-loss cutover — across providers and formats.
Migrate mailboxes, calendars, and contacts between Google Workspace, Microsoft 365, Exchange, and on-prem — with zero mail loss and minimal downtime.
24×7 NOC, managed cloud, managed databases, DRaaS, FinOps, and ROI auditing.
24×7 NOC for AWS, Azure, GCP, and OVHcloud — monitoring, patching, backups, security hardening, and cost optimization. Per-service pricing.
DBA-as-a-service for MySQL, Postgres, SQL Server, MongoDB, and Redis — schema review, query tuning, backups, replication, and 24×7 monitoring.
Disaster recovery with RTO/RPO targets, failover runbooks, and quarterly DR drills — because a runbook you've never tested is theater.
Reduce your cloud bill by 20-40% with right-sizing, reserved capacity, spot instances, and architecture changes — we share the savings.
Audit the ROI of your cloud and IT investments — are you getting the value you paid for? Vendor-neutral, defensible, executive-ready.
Managed Kubernetes (EKS, AKS, GKE, self-hosted) — cluster operations, workload deployment, autoscaling, security, and cost optimization.
VAPT, managed security, compliance frameworks, and IAM architecture.
Find and fix vulnerabilities before attackers do. Manual + automated testing, exploit verification, and remediation roadmap.
24×7 SOC with threat detection, incident response, and continuous hardening — for AWS, Azure, GCP, and hybrid environments.
Achieve and maintain ISO 27001, SOC 2, PCI DSS, HIPAA, GDPR, and FedRAMP — with audit-ready evidence and continuous compliance.
Design and implement IAM architecture — SSO, MFA, RBAC, ABAC, federation, and zero-trust — for cloud and hybrid environments.
DevOps, containerization, modernization, MACH, Green IT, DEX, and Agentic AI.
CI/CD pipelines, infrastructure-as-code, GitOps, and observability — so your team ships faster without breaking things.
Containerize legacy apps and orchestrate them on Kubernetes — Docker, EKS, AKS, GKE, or self-hosted K8s.
Modernize legacy applications — monolith to microservices, replatform to cloud-native, refactor for scale — without rewriting everything.
Reduce your cloud carbon footprint — workload placement, provider selection, and architecture for sustainability.
Design and implement MACH architecture — Microservices, API-first, Cloud-native, Headless — for composable digital experiences.
Measure and improve digital employee experience — endpoint performance, app reliability, and productivity friction.
Build production agentic AI workflows — multi-step, tool-using, autonomous — for customer support, ops, and knowledge work.