Four pillars. One senior team behind them.
We do not run a separate cloud department from the data one from the AI one. It is a single senior team covering all four pillars and integrating them when your problem crosses borders — which is almost always. So below we tell you what we concretely deliver in each, what problems recur, cases where we did it, and answers to the questions we get the most.
Infrastructure that scales with the business — without billing surprises.
We design and operate cloud infrastructure that scales with the business. On-prem migration, cloud-native modernization, DevOps/DevSecOps, multi-project automation, real observability and FinOps — from seed-stage startups to enterprise multi-cloud workloads.
- FinOps diagnostic with 20-50% quick wins in 30 days
- Phased AWS / Azure / GCP migration with documented rollback
- Internal developer platform (IDP) with Terraform + Kubernetes + GitOps
Decisions with data, not with gut feeling.
We build the full data stack: ingestion, dimensional modeling, governance, quality and visualization. Power BI, Tableau, Looker, Snowflake, Databricks — we use what fits your organization rather than what we prefer to sell. The goal is constant: committees making decisions with numbers that agree across departments.
- Single semantic model + governance layer with lineage
- Idempotent ingestion pipelines (Airbyte / Fivetran / custom)
- Governed warehouse / lake-house (Snowflake, Databricks, BigQuery)
Digital products that reach production — not just a demo.
Senior full-stack team building whatever software the business needs: SaaS platforms, e-commerce stores, web and mobile apps, APIs, integrations and internal platforms. TypeScript, Python, Go, React, React Native — we deliver software that runs in production, not pretty demos that break Monday morning.
- Technical design and architecture with ADRs per key decision
- MVP to production in 8-12 weeks with metrics from day one
- Production-grade frontend (Next.js, React Native) with accessibility
AI applied to your operations — not a conference demo.
We integrate foundation models and specialized agents into real business flows. RAG with your data, fine-tuning when it pays off, serious evaluations before production, MLOps with observability and drift monitoring. CyberFort Lab is the proof — operating 24/7 with 9 specialized agents.
- Honest use-case prioritization by ROI vs risk
- Agents with guardrails, evals and observability — not naïve chatbots
- RAG over your corporate data with permission segregation
— Why a single team matters
Most real technical problems span all four pillars: the executive dashboard needs a data pipeline, which needs cloud infra, which needs an AI agent for cleansing. When you hire four separate vendors, you spend half the time in handoffs. With a single senior team, there is no handoff.
— How we engage
Any pillar can engage under any of the three service models:
- ·Consulting — we think with you
- ·Training — we upskill your team
- ·Outsourcing — dedicated senior squad
Your problem doesn't fit exactly in one pillar?
They almost never fit a single one. That is why we approach problems as problems, not as pillars. Book 30 minutes and we honestly tell you which pillars mix in your case and where it makes sense to start.
Book 30 min →