Ashlr.AI is a US-based forward-deployed engineering company headquartered in Virginia. We work alongside enterprise and government-contractor teams to integrate complex systems and deliver production software and AI.
Ashlr grew out of Evero Consulting, founded in Virginia in 2025. AshlrAI, Inc. was incorporated in Virginia on March 2, 2026.
You work directly with the founders and expert engineers who write the code.
Mason leads company strategy, product direction, and client engagements. He founded Evero, Ashlr’s predecessor, which joined JMU’s 2025 Bluestone Seed Fund portfolio. His work connects business priorities with the software, data, and AI systems the team builds.
Mason leads the architecture and engineering behind Ashlr’s platforms, AI workflows, and integrations. He works across application code, data infrastructure, and security, turning complex requirements into systems the team can ship, maintain, and continue improving.
Evan leads delivery and operations, keeping client priorities connected to the team’s day-to-day work. He owns communication, coordination, and the operating cadence around each engagement so clients can see what is moving, what needs a decision, and what comes next.
Leaders across public-sector technology, operating businesses, product, finance, and venture creation who sharpen how Ashlr serves clients.
Board Advisor
Founder, Sentinel Technologies LLC
Rob founded Sentinel Technologies LLC, an AI consulting business focused on strategy, governance, and process automation. He previously worked in the Department of Homeland Security’s AI Governance & Engineering Division. He brings experience in federal technology and public-sector modernization to Ashlr.
Board Advisor
Co-founder & VP of Product Design and Marketing, IOTA Software
TJ is co-founder and Vice President of Product Design & Marketing at IOTA Software, which builds visualization software connecting industrial data, assets, and manufacturing processes. His work brings product design, industrial software, and the clear communication of complex information to Ashlr’s advisory board.
Board Advisor
Hospitality operator & former VP of Operations, Country Cookin
Tom helped launch Country Cookin Depot in Orange, Virginia, after a career in restaurant operations that included serving as Country Cookin’s Vice President of Operations. He brings firsthand experience running service businesses, building teams, and maintaining customer relationships to Ashlr.
Board Advisor
Founder, SOLitude Lake Management
Kevin founded SOLitude Lake Management in 1998 and helped grow the business across the United States. His experience building service operations and supporting entrepreneurs at JMU informs his guidance on growth, execution, and the practical decisions founders face as their companies expand.
Board Advisor
Co-founder & Co-CEO, hyrUP
George co-founded hyrUP, an executive search and accounting advisory firm combining AI-enabled sourcing with human verification and accounting expertise. He brings a perspective on recruiting, finance-team needs, and building professional-services relationships to Ashlr’s work with growing businesses.
Board Advisor
Founder, RowdyDow BBQ
Angela founded RowdyDow BBQ after working in technology and as a stockbroker. She built a foodservice business that distributed nationally and appeared on the 2018 Inc. 5000 list, and has served on JMU’s Entrepreneurship Advisory Board. She brings experience in consumer brands, distribution, and entrepreneurship to Ashlr.
Board Advisor
Associate Professor of Management, James Madison University
C.K. is an Associate Professor of Management at James Madison University. His research examines how people enter entrepreneurship, the institutions that shape new ventures, and social entrepreneurship. He holds a Ph.D. from Syracuse and an MBA from Oxford, bringing a research-informed perspective on venture creation to Ashlr.
Board Advisor
Professor & Academic Unit Head, Finance and Business Law, JMU
Elias is Professor and Academic Unit Head of Finance and Business Law at James Madison University. His research examines risk management, regulation, and financial-market risk, and he advises the Madison Investment Fund. He brings financial analysis, investment education, and disciplined evaluation of risk to Ashlr.
The same people shaping the answer stay close to the architecture, code, review, and client communication.
Direct engineering accountability and reviewable working increments keep delivery moving. Maintainability, security, documentation, and continuity are part of the build.
We start with the operating problem, then choose the software, data, workflow, AI, education, and security needed to solve it.
Built by Ashlr
We build products for the work we know—and tools for the way software is changing. Explore what each one does, who it helps, and where to try it.
23 projects. Search by name, topic, or the work you want to do.
Research, finance, communication, and a more deliberate way to work with AI.
Deep research
Research questions across the web and X with parallel agents, then review the findings in a structured report with source links.
50+ registered accounts
As of
Business finance
Financial dashboards, analysis, and client reporting for business owners and fractional CFOs. Bring financial data into one place and turn it into practical decisions.
Personal finance
Connect your accounts, understand spending, and track budgets and financial goals. Ask questions about your money with an AI assistant grounded in your finances.
Insurance operations
An email copilot for insurance agencies. Prioritize claims, renewals, and billing questions, then review AI-drafted replies before sending.
Prompt intelligence
Local-first prompt coaching that scores six structural signals and helps you reshape a request before sending. Prompt text stays out of measurement analytics.
From the first experiment to the tools, identities, and source material behind it.
Engineering agent workbench
Work with eligible coding-agent accounts and local models in one workbench; review fleet proposals under signed authority.
Agent identity
Keep coding agents scoped to the right client, account, and tenant. Manage identity bindings across command-line tools and MCP connections.
Markdown workspace
Read, edit, and export Markdown in a desktop app, with AI assistance and tools for reviewing agent-written documents. Available for macOS, Windows, and Linux.
Development infrastructure
Provision and connect development services through CLI and MCP tools, with Phantom Secrets handling supported credential paths.
Team coordination
See repository activity, AI tool usage, and cost across a team, with configurable sharing between collaborators.
Desktop controls
Monitor Codex and Claude Code sessions from a desktop control board, with a six-slot layout designed around the Creator Micro 2.
Terminal coding agent
Work with multiple model providers from a terminal coding agent, with repository tools, resumable sessions, and MCP connections. Explore the public source and setup requirements.
Local agent workspace
Launch OpenHands, Goose, Aider, and AshlrCode through one local toolbox. Share a configured local model and MCP tools, with a common health check and update workflow.
Agent context library
Build context compression, token estimation, provider-aware budgets, and repository retrieval into coding-agent tools. The shared TypeScript library behind AshlrCode and Ashlr Plugin.
Agent credential security
Delegate supported API work through scoped placeholders and a local proxy, keeping real keys out of agent context.
Web to native iOS
Turn a React and TypeScript app into a SwiftUI project, with tools to plan the conversion and complete the generated app.
Coding-agent tools
Token-efficient tools and workflows for Codex and Claude Code. Read, search, edit, and inspect repositories with compact outputs and visible context usage.
Dependency security
Inspect install scripts and native package binaries for risky behavior before adding them to your software, with checks for dependency review and CI.
Image sourcing
Search images across providers from your agent, terminal, or application. License-aware ranking and source metadata help you choose assets and review their usage requirements.
Public code, experiments, and interactive demonstrations. Each project explains its scope and what the evidence supports.
Financial-agent research
A research prototype for defining agent policies, testing proposed actions, and exporting verifiable decision records. It uses synthetic evaluations and cannot place broker orders.
Neural execution research
Explore how a small neural model predicts program execution, with interpreter-grounded traces and an interactive demo comparing learned control flow with delegated arithmetic.
Model research tools
Investigate model internals through circuit patching, attribution, and sparse autoencoder experiments. A local research toolkit with run histories and reproducibility records.
Neural simulation research
Explore connectome-inspired neural networks inside simulated bodies, with tools for evolution and ecosystem experiments. An open research platform for studying modeled behavior.
We will help you decide what should be rebuilt, automated, secured, measured, or left alone.
