Your Stack Was Built for the Company You Were. Not the One You're Becoming.
We embed senior engineers who rebuild legacy architecture and data infrastructure from the inside out — so your organization can scale, adopt AI, and ship without fighting its own systems.
Proven across mission-critical industries like Fintech and Healthcare
150+ vetted L5+ engineers · US-based contracting
Where We Operate
Where We Deliver the Most Impact
We focus on the structural problems that limit what engineering teams can build and how fast they can build it.
Legacy System Modernization
Re-architect aging codebases and monolithic systems into modular, extensible architecture your team can ship against with confidence. Phased, with no service interruption.
Mission-Critical Data Rebuilds
Replace systems that cannot go down. Zero-loss data migration, shadow-traffic validation, dual-write windows, rollback paths at every step. We've done this at national scale.
AI & ML in Production
Integrate ML, LLMs, and agent systems into platforms that already serve real customers and real regulators. Production-grade reliability, observability, and cost control — not pilots that don't ship.
Compliance & Governance
HIPAA, SOC 2, PCI, FDA, GxP — we've shipped under all of them. Architecture, audit trails, and process documentation are built in from day one, not bolted on for review week.
How We Engage
A Structured Approach to Rebuilding Without Disrupting the Business
We work in parallel with your existing roadmap — so modernization happens continuously, without halting delivery.
01
Audit
We work in parallel with your existing roadmap — so modernization happens continuously, without halting delivery.
02
Rebuild
We re-architect core systems and pipelines incrementally, alongside your team's existing commitments, under your tech leadership.
03
Modernize
We bring your data infrastructure to a standard that supports real-time decisioning, AI workloads, and your next stage of growth.
04
Embed and Sustain
We remain embedded to harden, validate, and fully document every system we touch — ensuring your team inherits something they can own and extend independently.
multi-year
No disruptive rewrites. No delivery gaps. No institutional knowledge lost at handoff.
By the Numbers
A Decade of Mid-Market Engagements
10 yrs
Operating
Continuous operation since 2016. Founders still leading the firm.
200+
Engagements Delivered
Mostly mid-market and enterprise. References available under NDA.
~2 yrs
Average Client Retention
Clients keep us around because outcomes compound. Renewal, not turnover.
150+
L5+ Engineers On Bench
Senior-only network. We can staff a 5-engineer team in your stack inside a month.
The People
L5+ Engineers Behind Every Engagement
Every engineer assigned to your account is L5+ with 8+ years of production experience and a track record at known names. Selected profiles from our current bench:
Senior-only — no juniors hidden in a "team rate"
Track record across regulated, real-data domains
Embedded in your org, accountable to your engineering leadership
M
Mykhailo
Senior Backend Engineer · 13 years exp.
L5+
Backend engineer with 13 years across enterprise SaaS, fintech, and identity systems. Led the monolith-to-microservices migration at Porsche. Strong on the Java/Spring ecosystem, distributed systems, and modernizing legacy stacks under live production load.
Principal Engineer · Backend & Platform · 12+ years exp.
L6
Principal engineer leading platform reliability and large-scale infrastructure migrations. Drives compliance-driven recovery testing on GCP, designs data platforms on BigQuery and Pub/Sub, and architects full observability stacks. Recent focus: AI/LLM integration into regulated production systems.
Full-stack engineer with deep expertise in healthcare data systems and AI integration. Designed and shipped a data-lake analysis solution for the healthcare industry on GCP, BigQuery, and Trino — secured a major partnership at launch. Strong across architecture, backend, and frontend.
Senior engineer with deep data engineering and team-leadership background. Led teams of 5–6 engineers building distributed ETL pipelines, analytics platforms, and migration tooling for enterprise customers. Recent work integrates AI agents (LangChain + LlamaIndex) into production code-migration workflows.
Senior Engineer · Backend & DevOps · 18 years exp.
L6
Eighteen years across backend, cloud infrastructure, and distributed systems. Owned production reliability on Azure with full CI/CD, Kubernetes, and incident response. Earlier work spans data visualisation, analytics platforms, multicast streaming backends, and mobile (iOS / Android).
Backend engineer for high-throughput data systems and distributed platforms. Built Kafka and Spark pipelines for major automotive OEMs including BMW and Audi (Germany and US markets). Comfortable across the modern data stack from Java/Spring through Spark to indexer infrastructure.
Senior front-end engineer with over a decade of tech-leading data-heavy interfaces. Tech lead on ML-driven data visualisation platforms, AI test tooling for QA engineers, and SDK demonstration applications. Lives in React, TypeScript, and D3.
Front-end team lead with 13 years across healthcare platforms, enterprise infrastructure monitoring, CDN admin tooling, and maritime AI analytics. Specialises in design-system architecture and leading delivery teams from kickoff to launch.
Federated ML Infrastructure for Healthcare Provider
Modernized legacy Java system and implemented federated learning with trusted execution environments at national scale.
MillionsPatient records secured
FullFederated ML in production
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Ready to Get Started?
Ready to Build on a Foundation That Will Scale With the Business?
We don't pitch on first call. Tell us what you're modernizing, what's blocking, and what success looks like — we'll come back within one business day with an honest read on whether we're the right team for it.