Built to solve the systems between the systems
Eigenvalue Systems is a Seattle-area systems company. We build production AI, automation, software, and data systems for companies with real operational problems. We determine what the right system is.
What we do
Bring a defined project, a workflow to improve, or a capability to add. We work with your team on the architecture, integrations, and implementation. The work carried through exports, inboxes, spreadsheets, reconciliations, calls, and decisions that never became software is the starting point; we determine the system and build it, from architecture through production.
The company works across six capabilities: custom AI and LLM systems, AI agents and workflow automation, voice AI and phone systems, document processing and data extraction, internal software and integrations, and data, ERP, and finance systems. They are one practice, not a menu: most real problems need more than one of them.
How we deliver
Projects are senior-led and assembled around the work. Eigenvalue brings together the engineering, data, design, and domain capability a system requires without placing layers of account management between the client and the people building it. The person who scopes the work stays accountable for the build and the handover.
Ownership, licensing, and any reusable components are defined in writing for each engagement. Deliverables include the source, documentation, monitoring, and operating knowledge needed to run the system without dependency on its author.
Why finance discipline shapes the engineering
Financial work imposes a discipline most software never faces: results must balance, tie to source, survive review, and remain explainable months later. Evidence, approvals, and traceability are not features there; they are the ground rules. Eigenvalue carries those rules into every system we build, whether or not the system touches a ledger.
Broader than finance
The same systems thinking applies wherever important work runs on manual effort: operations, documents, calls, communications, models, and the internal software a business wishes existed. Finance is the source of rigor. It is not the boundary.
- The work as it is
- Map + boundary
- Build + verify
- Human judgment
- Operating system
- Evidence
Jason Chaidez
Founder & Principal Engineer
Jason's path runs through both sides of the systems the company builds: years inside finance and accounting operations across public accounting, property and multi-entity management, nonprofits, insurance, real estate, and operating companies, followed by hands-on engineering. He scopes the work, stays accountable for the build, and is the person on the other side of the first conversation.
That combination is the company's edge: systems designed by someone who has been accountable for the numbers they produce, and who knows what an operator, a controller, or an auditor will ask of them later.
Full profile: Jason Chaidez →Operating principles
- Understand the real process before selecting the tool
- Keep human judgment where uncertainty or authority requires it
- Make every important output traceable to its source
- Design for failure, retries, exceptions, and reversibility
- Build systems the client can own and understand
- Use models where they outperform deterministic logic, not where they merely look impressive
- Treat security, access, and confidential data as architecture requirements
Confidentiality and ownership
Client work is confidential by default. Internal and employer systems are described only at a level that exposes no organization, program, data, or proprietary method.