Amanar

The engineering company behind Trace

Trace captures how your experts work and compiles it into documented, human-reviewed Python automation your team owns. We build it, and we deploy it inside your enterprise.

How we work with you

Three ways to work with us: buy the product, have us build yours, or get help deciding where to start.

Buy the product

We build AI products your team can audit. Trace is the flagship: capture a workflow once, get documented Python your people own.

Build with us

Your product, our engineering. We design and build AI systems local-first, then hand over the code — reviewable, documented, yours.

Guidance

Starting from zero on AI? We help you choose what to automate first, what to skip, and what should stay human.

Products

What we're building

Every product ships the same way: local-first, human-reviewed, owned by the client.

Trace

In development

Trace records how an expert completes a business process using screen context and voice guidance, then converts that workflow into documented automation assets that can be reviewed, deployed, and maintained by your team.

Trace's SOP tab: a generated hand-off procedure document ready for review.
Trace's process report: an auto-generated flowchart and step list for a captured workflow.

Amanar Bridge

In development

Bridge pulls ServiceNow, SharePoint, spreadsheets, and email into one view of your project portfolio — and flags where the sources disagree about the same work.

Amanar Bridge dashboard flagging a cross-source conflict: two systems reporting different statuses for the same project.
Experimental

Franklin Tracker

Labs — experimental

Scores each day against Franklin's 13 virtues, logs tasks, and closes with a written reflection. Early experiment.

Keel → Fathom

Labs — experimental

Two halves of one decision. Keel weighs whether an idea is worth building — against effort, risk, and what already exists — before anyone writes code. Fathom maps how to build what survives: the structure, the sequence, and the tradeoffs worth arguing about. Decide first, then build, with the reasoning written down at each step.

Concept stage — no product UI yet

The Leadership Team

Bridging decades of enterprise architecture, large-scale financial data intelligence, and continuous process optimization.

CC

Chad Cote

Chief Executive Officer

Lean Six Sigma Certified Analyst and project leader specializing in performance analytics, kaizen facilitation, and cross-functional process transformations. Serves as a systems expert driving architectural efficiencies across complex banking, healthcare, and education sectors via advanced platform optimizations.

BT

Brent Tantillo

Chief Product & Operating Officer

PMP-Certified Business Analyst and project manager with over 20 years of experience orchestrating large-scale data analytics, financial modeling, and corporate systems delivery. Specializes in engineering end-to-end automation and high-throughput predictive forecasting models across highly regulated spaces.

JD

James Downes

Chief Technology Officer

Two decades delivering software across financial systems, gaming, healthcare, and loyalty platforms. As technical lead, product manager, and engineer, most recently rebuilding a major ERP platform from the inside. At Amanar, owns architecture, security, and the engineering standard every build ships under: local-first, human-reviewed, client-owned.

RF

Robert Farley

Chief Information Officer

Enterprise Operations and Engineering Specialist with extensive leadership history directing financial system pipelines and digital product delivery frameworks. Expert in cross-functional project execution, infrastructure stability, and large-scale streaming data feeds, ensuring zero-downtime execution profiles.

Talk to us

Tell us what your team still does by hand. We'll tell you honestly whether Trace fits — and if it doesn't, what would.

Prefer email? info@amanar.ai