Sidusa Systems is a technology consulting firm built on 30+ years of hands-on engineering. We architect, build, and modernize enterprise software. And yes, we do AI too, but only when it's the right tool for the job.
Sidusa Systems was founded in 1994 with a simple premise: build software the right way, with the right people, for the right reasons. Three decades later, that premise hasn't changed, though the technologies certainly have.
We've built trading systems for hedge funds, content platforms for media companies, analytics engines for institutional investors, and modernized legacy systems that everyone said couldn't be touched. Along the way, we've seen every technology wave come through, and we've learned which ones matter and which ones are noise.
Today, generative AI is not noise. It's a genuine shift. But it still requires the same engineering discipline that every other technology requires. Probably more. That's where we come in. We help organizations cut through the hype and build AI solutions grounded in solid architecture, clean code, and practical business value.
Whether you have an existing development team or need us to be the team, we work alongside your people to deliver solutions that actually work in production, not just in demos.
Deep full-stack expertise across modern languages, cloud infrastructure, and data systems, with a constant eye on emerging technologies. We architect for scale, reliability, and maintainability.
LLMs, agents, agent orchestration, RAG pipelines, knowledge bases. We automate complex workflows with appropriate human oversight, building provider agnostic AI solutions with security in mind. No vendor lock-in.
Fractional CTO, technical advisory, AI strategy. We help organizations plan and execute technology roadmaps from the boardroom to the codebase.
We architect solutions that are elegant, functional, and grounded in reality. Whether it's a greenfield platform or a legacy modernization, we design for reliability, scalability, and growth, using the most appropriate technologies for your unique situation, not the trendiest ones.
Custom knowledge bases, intelligent assistants, agentic workflows, and MCP orchestration, all built provider agnostic so you're never locked into a single vendor. We integrate AI into your existing systems practically and cost-effectively, reimagining workflows rather than bolting AI onto broken processes.
Legacy systems aren't just technical debt; they're business risk. We migrate, modernize, and re-platform critical systems with minimal disruption. From monolith to microservice transitions to cloud migrations, we've moved systems that serve millions of users without missing a beat.
Full-stack development of APIs, platforms, and integrations tailored to your business. We build the invisible infrastructure that makes exceptional user experiences possible: robust backends, clean APIs, and data pipelines that just work.
Fractional CTO, technical advisory, and AI strategy for organizations that need experienced guidance. We help define technology roadmaps, set engineering standards, evaluate build vs buy decisions, and mentor development teams, all while staying close enough to the code to keep things honest.
We work with business leaders to develop technology strategies that align with organizational goals. We identify high-impact opportunities, select appropriate technologies without vendor lock-in, and implement solutions that deliver measurable value, from proof of concept to production.
The GenAI landscape is evolving at a pace that makes it genuinely difficult for organizations to know where to start, what to trust, and how to move from experimentation to production. We've been in the thick of it, building real systems, shipping real products, and advising leadership teams on how to adopt AI safely and effectively.
Our approach is grounded in experience, not theory. We've launched multi-tenant GenAI platforms running LLMs in production that enabled clients to deploy AI solutions in minutes rather than months. We've guided global enterprises through the transition from single-purpose chatbots to multi-agent orchestration with complex authorization and identity management. We've defined organizational standards for agentic pipelines, MCP servers, security patterns, guardrails, prompt management, and evaluation frameworks.
And we've done it all hands-on. Not from a slide deck. From the codebase.
We work with CTOs, engineering leadership, and teams across all levels to develop practical AI strategies. Not roadmaps that sit on a shelf, but actionable plans that move from discovery to production with clear milestones and measurable outcomes.
Multi-tenant GenAI platforms, RAG enabled assistants, agentic workflows, custom knowledge bases, MCP orchestration. We build provider agnostic, model agnostic systems designed for rapid deployment and continuous evolution as the technology landscape shifts.
AI adoption isn't just a technical challenge. We advise and educate all levels of the organization on GenAI capabilities, platform strategy, and practical adoption, helping teams build confidence and competence from the C-suite to engineering.
Trading systems, portfolio analytics, risk assessment, institutional platforms
Content platforms, distribution systems, digital media infrastructure
SaaS platforms, workflow automation, enterprise integrations, internal tools
MVP architecture, platform builds, technical advisory, growth engineering
Designed and built a full GenAI platform from the ground up for a startup, enabling multiple clients to rapidly deploy AI solutions. One client's implementation was featured in Bloomberg News and nominated for industry awards.
Advising CTO and engineering leadership at a global enterprise on AI adoption, defining standards for agentic pipelines, MCP orchestration, security, and evaluation frameworks. Built reusable tooling that reduced productionalization from weeks to hours.
Led technology transformation at a fintech serving institutional investors and hedge funds managing billions. Modernized core datastores, built ETL pipelines for portfolio reconciliation, and migrated legacy reporting to an API-based portal with SOC2 authentication.
Architected and built scalable content management and distribution systems for media companies: backend infrastructure serving millions of users with high availability and performance.
Fractional CTO engagement with early-stage startups: architecting platforms, building core systems, and establishing engineering practices that scale from first customer to growth stage.
Sidusa Systems was built on a simple belief: the best technology decisions come from people who understand the consequences at the code level. Our leadership team doesn't just set direction and walk away. We stay hands-on throughout every engagement, because that's where the real problems (and the real solutions) live.
"The best technical leaders stay close to the code: whether leading R&D, building POCs, setting standards, or shipping production code alongside the team."
That philosophy shapes how we work. When we say we understand your technical challenges, it's because our team has solved them before, in production, at scale, under real constraints.
Seasoned technologist with 30+ years delivering enterprise solutions across finance, media, entertainment, telecom, and technology. Princeton engineering graduate. Founded Sidusa Systems in 1994.
Kevin's career spans from building trading systems for institutional investors to architecting GenAI platforms that have earned Bloomberg coverage and industry awards. Currently advising enterprise leadership on AI adoption strategy while continuing to build production systems hands-on.
Whether you need architecture guidance, AI strategy, a hands-on technical partner, or all of the above, we'd love to hear about what you're working on.
We can get you out of the POC desert and into the land of the real.
info@sidusa.com