Most AI initiatives stall on the same thing, and it is never the model. Nobody can prove where the data came from, what happened to it, or why the output should be trusted. Fortis engineers the layer underneath.
Fortis Data Group is a specialized data, cloud and AI engineering firm that designs, builds, modernizes, automates and operates the platforms regulated organizations depend on.
Fortis does not deliver cookie-cutter solutions. Every program carries its own constraints, its own compliance posture, and its own definition of success, whether that is a federal mission or a commercial SLA. We work the problem from discovery through delivery, and accountability does not change hands along the way.
Relational, NoSQL, caching, and analytics platforms chosen by access pattern, not habit. Legacy database migration and the platform layer that makes data usable and durable.
Designing, provisioning and implementing the environments everything else runs on: compute, networking, storage, identity and Kubernetes, built as code with Terraform and Ansible across AWS, Azure, Google Cloud and OCI.
Migrating workloads into AWS and AWS GovCloud as the primary target, with Azure Government, OCI and GCP supported where the estate requires it, including the landing zone, automation, and hardening that mission-critical programs live and die by.
CI/CD, monitoring and observability, patching, upgrades, backup and restore verification and capacity planning, so platforms stay secure, recoverable and supportable long after go-live.
Analytics platforms and the data pipelines behind them, retrieval-augmented generation over private datasets, and document intelligence, built on the same patterns as active federal programs.
Replication and event-driven architecture for distributed systems that must hold integrity through extended network outages, including edge environments with intermittent connectivity.
Every engagement starts with the real constraint: the access pattern, the compliance boundary, the mission outcome. The architecture is designed to fit the program, not the tool we happen to know best.
Cloud infrastructure and data platforms provisioned as code, with hardening built in from the first commit.
Migration with zero data loss, and legacy integration replaced with patterns that can be rebuilt from code.
CI/CD for infrastructure, schema and configuration change, so every environment is reproducible and every change is traceable.
Monitoring, patching, upgrades, restore verification and runbooks, so the platform stays manageable long after the engagement ends.
Partner programs with AWS, Microsoft, Snowflake, Databricks and IBM, and engineering delivery across the cloud and AI platforms we build on, including:
Every engagement is scoped as engineering work with a stated outcome, whichever route you come through.
Architecture, modernization, implementation, performance engineering and specialized technical delivery for organizations carrying complex data and cloud requirements.
View servicesSpecialized engineering capability supporting federal programs, defense environments and prime contractor delivery teams. A scoped workstream with accountable delivery, not a resume.
Federal capabilityFocused technical assessments for organizations that need architecture findings, risk identification, modernization recommendations or a roadmap before committing to a larger build.
Request an assessmentAWS-led modernization inside compliance boundaries, on programs where downtime is not a recoverable event.
Distributed database platforms for environments that must hold integrity through extended network outages.
Legacy estate migration, performance engineering, and the data platform work that follows a cloud move.
A fixed-scope assessment is the cheapest way to find out whether the problem is what you think it is, and whether we are the right firm to fix it. Two to three weeks, written findings, yours to keep either way.