Kozmyc Solutions
Engineering for Demanding Enterprises

Built right.
Shipped fast.
Owned to handoff.

Custom software, AI automation, and platform modernization for growing teams and enterprise leaders. Pilot in six weeks. Scale in twelve. Outlast every reorg.

View case studies
48 hrPlan response
6 wksfirst measurable win
Quarterlyvalue, not promises

The cost of inaction

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

$0.0M

average cost of a data breach in 2025

IBM Cost of a Data Breach 2025

$0.0K/min

average cost of unplanned IT downtime

Gartner

$0.0T

yearly U.S. economic cost of poor data quality

IBM

$0.0T

global spend on digital transformations that miss their goals

McKinsey

Industries

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

All industries

Financial Services

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

Real-timefraud and risk decisioning patterns

Healthcare & Life Sciences

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

Governedclinical and operational data pipelines

Retail & Consumer

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

Sub-minuteinventory and pricing propagation patterns

Manufacturing & Industrial

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

OT/ITplant-floor and ERP integration patterns

Energy & Utilities

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

Field opsoutage and work-order modernization patterns

Technology & Telecom

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

Platformdeveloper experience and AI infrastructure patterns

Logistics & Supply Chain

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

Live ETAvisibility and routing modernization patterns

Public Sector & Defense

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

ATO-awareevidence patterns 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.

Personalizedrecommendation and metadata platform patterns

What we build

Six engineering capabilities, one accountable team.

All capabilities

Custom Software Engineering

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

  • 6 wkstarget pilot slice
  • 12 wkstarget path to scale

AI & Automation Systems

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

  • Eval-firstbefore model rollout
  • 6 wkstarget first governed workflow

Data Engineering

Pipelines, warehouses, and decision systems that turn ten silos into one query plane.

  • Lineagebuilt into critical pipelines
  • Contractsfor trusted operational data

Cloud & DevOps

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

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

Digital Transformation

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

  • 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.

  • Evidencegenerated alongside delivery
  • Controlsmapped before implementation

Proof

Delivery patterns, not loose promises.

These representative engagement patterns show the kinds of systems, controls, and outcomes we design for. Named client outcomes should only be published after approval.

Financial Services
Life Sciences
Retail & Consumer
Manufacturing
Energy & Utilities
Technology Platforms
Logistics
Telecom

Representative Financial Services Engagement

Real-time fraud platform replacing a legacy batch decisioning workflow.

  • Real-time

    transaction decisioning

  • Low-latency

    decisioning target

  • Parallel run

    before cutover

  • HITL

    analyst review path

Representative Life Sciences Engagement

Unified clinical-trial data pipeline for governed trial readout.

  • Lineage

    trial data audit trail

  • CDISC

    clinical data model support

  • FHIR

    healthcare integration support

  • Audit path

    data-integrity review

Representative Retail Engagement

Real-time inventory and pricing platform for omnichannel operations.

  • Unified

    inventory truth layer

  • Forecasting

    demand and promo signals

  • SLOs

    weekly operating review

  • Near-real-time

    inventory propagation target

How we engage

From project plan to scale in under a quarter.

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

Trust & compliance

Frameworks and platforms we build around.

This is not a certification list. These titles describe the frameworks and platforms our delivery patterns are designed to support.

Compliance & Security

  • SOC 2 Type II
  • ISO 27001
  • HIPAA
  • GDPR
  • NIST CSF
  • PCI-DSS

Cloud & Platform

  • AWS
  • Microsoft Azure
  • Google Cloud
  • Snowflake
  • Databricks
  • Kubernetes

Insights

Field notes from enterprise delivery.

All insights
Operations

The Cost of Legacy Operations: A 2026 Sizing Model

Legacy platforms usually leak money through downtime, reconciliation toil, missed pricing decisions, and blocked automation. Here is how to size the exposure before you start a modernization program.

7 min readApr 2026
AI & Automation

Why Enterprise AI Pilots Stall: How to Ship in 12 Weeks

Most failed AI pilots do not fail because the model is weak. They fail because evaluation, governance, integration, and ownership arrive too late.

9 min readMar 2026
Security & Compliance

Compliance as a Velocity Lever: Building Control Evidence Into Sprint One

Audit readiness is treated like a tax in most engineering orgs. Treated like a build target, it becomes a velocity lever. The math is straightforward.

6 min readFeb 2026

Talk to an engineer

Three ways in. All of them go to a person.

No call centers, no SDRs, no chatbots. Every inbound goes to an engineer-owner.

Request a Project Plan

A written first read on the problem you describe, scoped to your stack and constraints.

Executive briefing

30 minutes with the delivery team. An opinionated take on your stack and the fastest measurable win.

Direct email

An open line to the engineer who would own the work. Send context, get back the next practical step.