Kozmyc Solutions
Production engineering for regulated enterprises

Built right.
Shipped fast.
Owned to handoff.

Custom software, AI automation, and platform modernization for the Fortune 500 and the teams chasing them. Engineer-owners on every engagement, no staff augmentation.

Prioritywork, not queues
Directto the build team
Personalengineer-owner response
Financial Services
Life Sciences
Retail & Consumer
Manufacturing
Energy & Utilities
Technology Platforms
Logistics
Telecom

The cost of inaction

Doing nothing is the most expensive line item on the budget.

IBM Cost of a Data Breach Report, 2025

average cost of a data breach in 2025

$0.0M

Gartner, widely cited industry baseline

average cost of unplanned IT downtime

$0.0K/min

IBM, originally published 2016

yearly U.S. economic cost of poor data quality

$0.0T

McKinsey, ongoing transformation studies

global spend on digital transformations that miss their goals

$0.0T

Insights

Field notes from enterprise delivery.

Industries

Built for the sectors where downtime is a board-level event.

Financial Services

Legacy core systems and fragmented data slow every fraud, lending, and compliance decision.

Decision systems for banks, insurers, and capital markets that move at the speed of risk.

Real-timefraud and risk decisioning

Healthcare & Life Sciences

Trial data is trapped in disconnected EHRs and CROs while time-to-market keeps slipping by quarters.

Clinical and operational systems for payers, providers, and pharma, privacy-aware by default.

Governedclinical and operational data pipelines

Retail & Consumer

Omnichannel inventory and pricing decisions still run on overnight batches in a same-day world.

Real-time commerce, inventory, and pricing platforms for ambitious retailers and enterprise chains.

Sub-minuteinventory and pricing propagation

Manufacturing & Industrial

Plant-floor telemetry and ERP data still don't talk, making downtime, scrap, and maintenance risk harder to control.

OT/IT convergence, predictive maintenance, and digital-thread platforms for industrial leaders.

OT/ITplant-floor and ERP integration

Energy & Utilities

Grid, field, and trading data live in twenty different systems while regulators and storms wait for no one.

Grid intelligence, field-ops, and trading platforms for utilities, oil & gas, and renewables.

Field opsoutage and work-order modernization

Technology & Telecom

Internal platform sprawl drains R&D capacity that should be shipping product to customers.

Internal-platform engineering and AI infrastructure for tech and telecom incumbents.

Platformdeveloper experience and AI infrastructure

Logistics & Supply Chain

Network optimization runs nightly while customers expect tracking, ETAs, and exceptions in real time.

Network-optimization, visibility, and last-mile platforms for global 3PLs and freight leaders.

Live ETAvisibility and routing modernization

Public Sector & Defense

Federal modernization stalls between mandate and contract while mission-critical systems run on platforms older than the programs they support.

Regulated software, AI, and modernization for public-sector and defense buyers.

ATO-awareevidence for regulated delivery

Media & Entertainment

Streaming retention, ad targeting, and post-production margins all bleed when recommendation, metadata, and ops still run on bolt-on stacks.

Recommendation, content, and ad-stack platforms for streamers, studios, and media networks.

Personalizedrecommendation and metadata platforms

Capabilities

Six engineering capabilities, one accountable team.

Custom Software Engineering

Bespoke platforms, internal tools, and customer-facing apps engineered to outlast the next reorg.

Production engineering teams that ship typed, observable, secure systems. We work alongside your platform and product groups, take ownership of delivery, and leave a codebase your team can run without us.

  • Production-gradefrom the first slice
  • Runbooksshipped at handoff

AI & Automation Systems

LLM, agent, ML, and RPA systems put into production, not stuck in a slide deck.

We design AI systems with eval harnesses, guardrails, and cost ceilings on day one. The models, agents, and automations we ship are observed, governed, and accountable to your business KPIs, not vibes.

  • Eval-firstbefore model rollout
  • Trace + replayfor production agent runs

Data Engineering

Pipelines, warehouses, and decision systems that turn ten silos into one serving layer.

Lakehouse, warehouse, streaming, and reverse-ETL systems built for governance and scale. We unify the systems your analysts already use and the platforms your operators actually touch.

  • Lineagebuilt into critical pipelines
  • Contractsfor trusted operational data

Cloud & DevOps

AWS, Azure, and GCP platforms with FinOps, IaC, and platform engineering done right.

Landing zones, Kubernetes platforms, GitOps, and cost governance built so your engineers actually ship. We treat the platform as a product. Your developers are the customer.

  • Cost guardrailsfor eng and finance
  • Self-servicedeveloper workflows at handoff

Digital Transformation

Mainframe, monolith, and ERP modernizations executed without breaking the business.

Strangler-fig migrations, domain-driven decomposition, and portfolio rationalization. We design transitions that your operations, finance, and security teams can actually defend.

  • Parallel runbefore risky cutovers
  • TCO modelowned before migration starts

Security & Compliance

Audit evidence, secure SDLC patterns, and compliance controls wired into the way we build.

Compliance as a velocity lever, not a tax. We bring patterns, evidence-collection automation, and engineering discipline so audit readiness compounds with every sprint.

  • Evidencegenerated alongside delivery
  • Controlsmapped before implementation

How we engage

From project plan to production in twelve weeks.

Every engagement starts with a one-page project plan and measurable acceptance criteria. No steering committees. No forever pilots.

  1. 01 · 2 weeks

    Discovery

    Audit. Quantify the cost of inaction. Define the project plan with measurable acceptance criteria.

    • Baseline metrics + opportunity sizing
    • Architecture and data audit
    • Project plan with acceptance criteria
  2. 02 · 4 weeks

    Pilot

    Ship a production-grade slice end-to-end. Real users. Real data. Real numbers.

    • Production-grade pilot system
    • Eval, observability, and SLOs in place
    • Compliance evidence captured from sprint one
  3. 03 · 6 weeks

    Scale

    Roll out at full enterprise volume across regions, business units, or product lines.

    • Multi-region or multi-BU rollout
    • Runbooks, on-call, and DR validated
    • Cost / latency / quality SLOs published
  4. 04 · Ongoing

    Manage

    Operate, harden, and improve alongside your team, or hand off cleanly to your platform org.

    • On-call coverage and incident response
    • Quarterly cost, security, and SLO review
    • Knowledge transfer documented and rehearsed

Currently at capacity

All in on our current clients.

We're at capacity. Existing clients are priority work, and we honor that before taking on new engagements. Reserve a slot and an engineer-owner will write directly the moment one opens.

Waitlist — Architecture review

A written read on your problem, scoped to your stack and constraints, with a clear sizing of your exposure.

Waitlist — Executive briefing

30 minutes with an engineer-owner. Focused on your stack, the constraints, and the fastest measurable win.

General inquiries

Direct answers from the people doing the work. Always glad to help. Any question, any topic, any concerns.