Agentic modernization, delivered
Accurate, complete, on time

Our team combines static analysis for deterministic accuracy, GenAI for speed, and senior engineers to catch what tools miss. The result: modernization you can trust, end-to-end.

The offering

Where we come in

Three offerings, scoped to where modernization is hardest. Each starts with an Assessment that locks scope, risks, and success criteria before we move.

API-first architecture

Business logic from frontend to backend

Turn embedded business logic into reusable services that support healthy product evolution around one source of truth.

Agentic context layer

From SDLC to ADLC

Build the validated knowledge base your AI tools need to understand your codebase. Copilot, Cursor, Claude Code, internal agents, MCP servers.

Large-scale migrations

Technical modernization projects

Take on complex migrations directly, with clear scope, validation, and staged delivery from planning through execution.

.NET migration Java migration Monolith to microservices
How we do it

Three layers, working together

Built to make complex change accurate, complete, and on time. Deterministic analysis alone misses intent. AI alone hallucinates. Consultants alone don’t scale. We run all three.

Deterministic analysis

Our proprietary engine maps dependencies, entry points, data flows, dead code, and cross-repo relationships. Output you can trust before making changes.

AI for scale

Anchored in static analysis, our AI agents apply verified patterns across the codebase, coordinating analysis and workflows around trusted system context.

SMEs and AI experts

Experts validate the output, add the know-how that only lives in people’s heads, and catch what automated tools can’t. No “AI-best-effort” shipped.

What you get

Delivered through a live customer workspace, not scattered files

Modernization fails when scope drifts, progress is invisible, and deliverables miss the mark. Our operating model keeps the work scoped, visible, and verifiable.

What you see

One workspace. Your engagement, in one place.

Code
3 repos
Work plan
Stage 2 of 4
Findings
42 mapped
Tests
18 / 24 passing
Deliverables
KB · Maps · Docs
What powers it

A platform and an operating system. The rest is on us.

Platform

Turns your code into a traceable, structured understanding of the system. Built on proprietary deterministic analysis, anchored across every repo in scope.

Operating system

Runs our AI agents and senior engineers against that understanding. Orchestrated, monitored, simulator-backed. Every task tracked, every output verifiable.

Delivered change

Migrated code, extracted services, shipped APIs, or an AI-ready knowledge base. Whichever your offering scopes.

System understanding

Architecture and dependency maps, dead-code analysis, documented critical flows, extracted business logic. Queryable by MCP.

Enablement assets

Test plans, validation evidence, audit-ready artifacts where relevant, playbooks, and training to hand off to your team.

Engagement model

Modernization without the all-in bet

Four stages. Fixed price per stage. Commit one step at a time, with validation evidence at every one.

01

Assessment

Snapshot of tech stack and modernization fit. Scoped plan, risks, and success criteria.

02

Specification

Extract the rules, flows, and system behavior that teams and agents need to change code safely.

03

Modernization

Execute the scoped change: code, services, APIs, or migrated work, with visible progress throughout.

04

Enablement

Keep evolving your system independently using our playbooks, trainings, test suites, and knowledge base.

mesh-grid-1

Swimm gave us a map of our application which we verified to be 100% accurate and had all the details our business analysts needed

Executive Director

Mainframe, Top 5 US Bank

Deployed where modernization is hardest

Security certified

Security certified

SOC 2 and ISO 27001 compliant

On-premise deployment

On-premise deployment

Including air-gapped environments

Customer-managed LLMs

Customer-managed LLMs

Your data stays in your control

Proven at scale

Proven at scale

100M+ lines of code analyzed

Mainframe & legacy coverage

Mainframe & legacy coverage

COBOL, JCL, PL/I, and modern languages

Stays current

Stays current

Understanding updates as your code evolves

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Hand us the application you've been wrestling with