Clear delivery. Clean handover. Systems built to last.
We exist because too many technology projects fail—not because the technology doesn't work, but because teams can't adopt or operate it.
A global digital systems company built by operators for operators.
Fradys Technologies is a global digital systems company that builds AI-powered revenue and operations systems. Founded by Fradius Martin, the company specializes in agentic AI, business automation, marketing systems engineering, and AI governance through its proprietary FLT Protocol (Facts, Logic, Tone). Fradys Technologies serves founders, startups, mid-market businesses, and enterprise organizations including Fortune 500 companies across six practice areas.
Fradys Technologies delivers AI solutions, automation systems, and marketing infrastructure for businesses worldwide. We work with founders, startups, mid-market businesses, and enterprise organizations. 100% online service delivery, across every time zone.
If your team has outgrown spreadsheets and stitched-together tools but isn’t ready for a six-figure enterprise platform, we fill that gap with systems designed for how your team actually works.
AI Solutions
Production models, MLOps, and agentic workflows.
Digital Marketing
Attribution, personalization, and lifecycle automation.
Business Automation
Order-to-ERP and document intelligence.
Creative Systems
Brand systems and UI kits that convert.
Custom Development
Modular platforms built for ownership.
Training
Bootcamps and playbooks for internal teams.
How we work.
We follow a structured process to ensure predictable outcomes and clean handover.
Understand
Clarify objectives, constraints, data reality, and success metrics.
Design
Define architecture, governance, and adoption plans before building.
Build
Implement modular components with quality checkpoints.
Activate
Controlled rollout, validation, and measurable tracking.
Embed & Optimize
Training, documentation, and continuous improvement.
Built by operators, not theorists.
Fradys Technologies is led by practitioners who have delivered automation, AI, and systems inside real organizations—where adoption, governance, and handover determine success.
Fradius Martin
Founder & CEO | Principal Consultant & AI Architect
"Principal Consultant and AI Architect focused on production-grade agentic AI, automation, and growth systems that amplify human potential."
Fradius brings 30+ years of global business and leadership experience to every engagement. He architects production-ready AI, agentic workflows, and automation systems that reduce manual work, improve decision velocity, and scale reliably across teams—freeing people to focus on higher-value work. He combines MLOps and orchestration with practical digital marketing strategy—attribution, personalization, and lifecycle automation—so technology becomes a dependable source of measurable commercial outcomes. Fradius runs executive programs and hands-on bootcamps to move organizations from pilot to production with governance and clear ROI.
Core Expertise
- Production AI architecture — model lifecycle, deployment patterns, drift detection, and observability
- Agentic workflows and orchestration — multi-agent design, escalation, and safe automation loops
- MLOps and governance — CI/CD for models, versioning, audit trails, and compliance
- Marketing systems engineering — attribution, personalization engines, lifecycle automation tied to revenue
- Change and adoption — executive coaching, playbooks, and training for clean handover
Responsibilities
- Define product and technical strategy for AI, automation, and marketing systems
- Architect flagship solutions and validate production readiness
- Lead executive client engagements, feasibility sprints, and adoption programs
Key KPIs
Time from pilot to production; adoption rate post-handover; measurable lift in qualified demand; system uptime and MTTR
"We make AI and automation reliable, measurable, and owned by your teams—so technology amplifies outcomes, not complexity."
Brian Fradius
Chief Technology Officer (CTO) | Head of Marketing Systems Engineering
"CTO and Head of Marketing Systems Engineering combining engineering rigor with AI/ML, automation, and social/performance marketing to drive measurable pipeline and customer acquisition."
Brian owns the technology roadmap and R&D for the company’s AI, automation, and marketing systems. He designs end-to-end marketing stacks—combining performance media, social strategy, CRM orchestration, and AI-driven personalization—to create measurable, repeatable acquisition engines. Brian also leads applied research to keep the company’s tools, frameworks, and methods competitive in a fast-moving field.
Core Expertise
- Marketing systems engineering — full-funnel attribution, multi-touch modeling, and revenue analytics
- AI/ML for marketing — predictive lead scoring, dynamic content personalization, churn modeling
- Social media strategy — organic growth, paid social, influencer frameworks, and community building
- Performance marketing — SEM, programmatic, retargeting, and conversion rate optimization
- CRM and automation — lifecycle campaigns, segmentation, and trigger-based workflows
- Technology architecture — API integrations, data pipelines, and martech stack design
- Applied research and R&D — emerging tools, frameworks, and AI capabilities
- Team leadership — hiring, mentoring, and cross-functional collaboration
Responsibilities
- Own technology roadmap and R&D across AI, automation, and marketing systems
- Design and optimize full-funnel marketing stacks with measurable attribution
- Lead social media and performance marketing strategy
- Build and lead cross-functional engineering and marketing systems teams
- Evaluate and integrate emerging technologies
Key KPIs
CAC/LTV ratio; marketing attribution accuracy; conversion rate by channel; pipeline velocity; system uptime; R&D cycle time
"I align engineering discipline with marketing signals so growth is measurable, repeatable, and owned by the business."
Juliana Kilasara
Director of Management & Operations | Operations Excellence Leader
"Director of Management & Operations driving operational excellence, smooth delivery, and client satisfaction."
Juliana runs the operational backbone that turns projects into repeatable outcomes. She owns delivery cadence, onboarding, adoption programs, and people processes—building playbooks, SLAs, and training that reduce time-to-value and ensure consistent client experience and satisfaction.
Core Expertise
- Delivery operations — governance, resource allocation, sprint cadence, and release management
- Onboarding and adoption — structured journeys, training curricula, and milestone tracking
- Operational excellence — runbooks, playbooks, continuous improvement, and Kaizen practices
- Client success — CSAT/NPS programs, escalation management, and executive reporting
- People operations for delivery — capacity planning, performance frameworks, and role-based training
Responsibilities
- Own end-to-end delivery operations and client onboarding
- Create and maintain playbooks, runbooks, and handover artifacts
- Lead adoption programs and measure client outcomes; coordinate cross-functional resourcing
Key KPIs
Time-to-value; adoption rate; SLA compliance and MTTR; CSAT/NPS; percentage of projects delivered on time and within scope
"We measure success by adoption and business impact, not just deployment."
Florent Mtuka
Director of Engineering | Platform and Infrastructure Lead
"Director of Engineering scaling technical teams, platform reliability, and infrastructure for production AI and automation."
Florent leads platform engineering and infrastructure to make AI and automation dependable at scale. He builds resilient cloud architectures, CI/CD for models and services, observability, and secure integrations while hiring and mentoring engineering teams to meet enterprise reliability and performance expectations.
Core Expertise
- Platform engineering and cloud architecture — IaC, container orchestration, cost-optimized deployments
- MLOps and deployment pipelines — automated training, validation, deployment, rollback, and monitoring
- Observability and SRE — logging, metrics, tracing, alerting, and runbook-driven incident response
- Scalable system design — microservices, event-driven architectures, and high-throughput data pipelines
- Security and compliance — secure-by-design patterns, secrets management, and access controls
- Engineering management — hiring, mentoring, career ladders, and process improvements
Responsibilities
- Own platform engineering, infrastructure, and cloud architecture
- Build MLOps pipelines and deployment automation; ensure system reliability and uptime
- Scale engineering teams through hiring, mentoring, and process improvements
- Ensure security and compliance across all systems
Key KPIs
System uptime and availability; MTTR (mean time to recovery); deployment frequency; engineering team growth and retention; infrastructure cost optimization
"Reliable systems start with disciplined engineering practices and a platform teams can trust."
Frequently Asked Questions
Common questions about our services, governance, and approach.
Ready to build systems that work?
Whether you’re a founder building your first automated workflow, a startup scaling your go-to-market engine, or a Fortune 500 team ready to deploy AI across departments—we’re here to have an honest conversation about what’s possible.