Data Platform, Cloud and AI Engineering

You cannot ship AI you cannot prove

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.

Key personnel experience includes 100+ enterprise database migrations with no data loss
Data at the core, supported by AWS-led cloud, platform reliability, DevSecOps and AI engineering
Cleared personnel and experience across federal, defense and regulated enterprise environments
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PostgreSQL AWS GovCloud Terraform Apache Kafka SQL Server Azure Government Ansible DynamoDB Google Cloud Redshift Oracle Cloud MongoDB Amazon Bedrock Oracle ElastiCache MySQL

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.

100+
Databases modernized
140+
DoD database controls remediated
0
Data-loss incidents on migration work
4
Cloud platforms in production

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.

How we create value

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Data Platform & Database Engineering

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.

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Cloud Infrastructure Engineering

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.

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Cloud Modernization

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.

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Platform Operations & DevSecOps

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.

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Analytics & AI Infrastructure

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.

⬡

Distributed Systems

Replication and event-driven architecture for distributed systems that must hold integrity through extended network outages, including edge environments with intermittent connectivity.

Built for speed and precision

Design

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.

Build

Cloud infrastructure and data platforms provisioned as code, with hardening built in from the first commit.

Modernize

Migration with zero data loss, and legacy integration replaced with patterns that can be rebuilt from code.

Automate

CI/CD for infrastructure, schema and configuration change, so every environment is reproducible and every change is traceable.

Operate

Monitoring, patching, upgrades, restore verification and runbooks, so the platform stays manageable long after the engagement ends.

Certifications held

AWS Certified Solutions Architect, Associate Microsoft Certified Associate, Azure Database Administrator DP-300 HashiCorp Certified Terraform Associate, 003 CompTIA Security+ ce Cisco Certified Network Associate, CCNA Tableau Certified Consultant Tableau Certified Data Analyst
Technology partners

Technology partners and platforms

Partner programs with AWS, Microsoft, Snowflake, Databricks and IBM, and engineering delivery across the cloud and AI platforms we build on, including:

AWS AWS
Microsoft Azure Microsoft Azure
Google Cloud Google Cloud
OpenAI OpenAI
Snowflake Snowflake
Databricks Databricks
IBM IBM

Three ways organizations bring Fortis in

Every engagement is scoped as engineering work with a stated outcome, whichever route you come through.

Direct

Direct engineering engagement

Architecture, modernization, implementation, performance engineering and specialized technical delivery for organizations carrying complex data and cloud requirements.

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Federal

Federal and prime contractor support

Specialized engineering capability supporting federal programs, defense environments and prime contractor delivery teams. A scoped workstream with accountable delivery, not a resume.

Federal capability
Assessment

Assessment and advisory

Focused technical assessments for organizations that need architecture findings, risk identification, modernization recommendations or a roadmap before committing to a larger build.

Request an assessment

Sectors we know inside out

Federal Civilian

AWS-led modernization inside compliance boundaries, on programs where downtime is not a recoverable event.

Financial systemsCivilian agenciesPublic TrustFedRAMP

Department of Defense

Distributed database platforms for environments that must hold integrity through extended network outages.

Defense logisticsSecret ClearedDoD RMFEdge systems

Commercial Enterprise

Legacy estate migration, performance engineering, and the data platform work that follows a cloud move.

HealthcareTelecomRetailData modernization

Start with the smallest thing that tells you something true

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.

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