Ironworkers
Bill Cole
General Foreman
Your Tech. Your Way.
Build the AI Operating System Your Business Owns
Your people already know how the business works. MYTE turns that knowledge into one production system—custom software, governed AI, deployment, and training—built around the way work actually moves.
Replace AI chaos with
Private AI
Owned Stack
Managed Deployment
Proof inventory
Real systems, real builders, real ownership.
Built from delivered systems, client proof, and working product evidence.
14
Real systems built
5
Builder countries active
11
Client-owned systems delivered
Founder message
AI should amplify the people who understand the work—not erase their judgment.
MYTE begins with the operators, managers, and experts who already carry the business logic. The system captures that knowledge, makes decisions visible, and gives the team a durable way to use and improve it.
Owned stackPrivate dataHuman experts amplified
Join Myte Ahmed MekallachFounder, Myte GroupWatch on YouTube
Delivered across construction, labor, healthcare, real estate, and private data workflows
From tools to an operating model
Why Myte?
Most tools begin with the vendor’s product model. MYTE begins with your operating model: the roles, records, decisions, exceptions, and authority behind the work.
Start Your OS RoadmapWhat matters
MYTE
Others
Starting point
Your roles, records, decisions, and exceptions—not a preset feature set.
MYTE
Others
Ownership after launch
Source, documentation, deployment context, and operating knowledge are defined in delivery.
MYTE
Others
Human authority
Named reviewers, approvals, escalation paths, and audit evidence.
MYTE
Others
Data and AI boundary
The model and hosting path are selected per workflow instead of assumed.
MYTE
Others
Production discipline
Builds, tests, release identity, rollback, and support are part of the system.
MYTE
Others
Team capability
Operators and technical owners learn how to review, support, and extend the workflow.
MYTE
Others
Field proof
Proof from real systems and the people responsible for them.
MYTE has built systems for structural-steel estimating, union dispatch, Market Recovery, field organizing, private data retrieval, clinical intake, property operations, and real estate lead conversion.
Read each proof point through the records, decisions, roles, and operating pressure it makes visible.
Ironworkers
Jason Fussell
Financial Secretary/Treasurer, Business Manager
Ironworkers
Yves Laplante
Retired Superintendent, 2nd Generation
Ironworkers
Terry McCarthy
Construction Manager
Builder trust
Join MyteLeaders trust MYTE when the work must become inspectable software.
Named operators and sponsors describe the systems, workflows, and decisions that had to move from memory into a durable operating record.
"I Absolutely love the Myte Systems, everything is just there to act on right away!"
Case study
After two minutes speaking with you, I could tell you actually know our industry and your stuff. You're like a computer!
Case study
The AI Bootcamp was practical, clear, and empowering. It shortcut months of learning and gave the team confidence to start building with AI.
Case study
Red Cedar Steel operates an owned system for RFQ intake, CRM, estimating work, document control, bid memory, permissions, and audit governance.
Case study
The estimating system centers the bid command center: RFQs, requesters, due dates, documents, follow-ups, controlled handoff context, and bid-form logic.
Case study
Immostar runs a local-first proposal system that turns structured project workbooks into branded PFT documents without sending client files to a server.
Case study
Proposal teams can move through one guided flow: scope selection, room filtering, cost summaries, annex routing, branding, and Word proposal output.
Case study
Myte Estate connects marketplace demand, landlord operations, tenant experience, service-provider workflows, payments, documents, communications, analytics, and admin governance.
"The way you do everything, is the way you do anything - systems, systems, systems!"
Case study
Health Connect gives patients, doctors, and admins role-specific workflows for structured intake, signal triage, AI-assisted profiles, consultation notes, and continuity.
"He is quick, and always goes the extra mile to fulfill our requests!"
Case study
CourtierXpert gives buyers and sellers a guided digital intake while the agent owns the CRM record, lead context, email notifications, preferences, and follow-up history.
Choose the next move
You have seen the proof. Now choose the next question.
Start with the operating pressure, understand the delivery model, or find the delivered system closest to your environment.
Start With One Workflow
Tell MYTE where work breaks, who owns it, which records move, and what a useful first release would change.
Join Myte
Explore Services
See how MYTE maps, builds, integrates, deploys, documents, trains, and supports custom systems.
Open Services
Find Your Industry
Review construction, union, healthcare, and real estate workflows grounded in delivered systems.
Open Industries
Why the system matters
Turn scattered tools into one operating layer your business can understand.
The post-AI business does not have a shortage of tools. It has a shortage of control. MYTE connects the records, handoffs, decisions, and intelligence beneath the tools.
- Connect the ERP, CRM, files, APIs, and records that should remain; replace the handoffs that repeatedly lose context.
- Put AI inside explicit data, cost, review, and approval boundaries instead of an opaque chain of agents.
- Define deployment, support, documentation, training, and change ownership so the next responsible person can operate the system.
Training for ownership
A system is not owned until the people responsible can review it, troubleshoot it, and improve it.
Operators learn the workflow and exception path. Approvers learn the evidence required for consequential decisions. Technical owners learn the runtime, integrations, logs, and release process. Leaders learn how to govern cost, quality, and expansion.
Operator reviewDecision governanceTechnical ownershipInternal capability
Open Training Pricing confidence
Custom work becomes priceable when the workflow and responsibility become clear.
MYTE separates discovery, delivery, infrastructure, model usage, support, and training so buyers can see what is paid once, what recurs, and what changes with usage.
No one-size-fits-all subscription card
Delivery, infrastructure, model costs, and support separated clearly
Managed by Myte or deployed into infrastructure you own
Built for ownership, maintainability, and team control
Build With Myte
Scope and build the custom operating system your team needs to own.
Join MyteOwn Your AI Your Way
Use private, local, hybrid, or managed inference paths when AI ownership matters.
Open Myte.aiOwn Your Tech Your Way
Use Myte.dev for the technical ownership path behind your systems.
Open Myte.devNeed the details? The pricing page explains scope, ownership, infrastructure, support, and firm pricing after discovery.
See pricing details
FAQ
Questions before the first workflow
The right first release should clarify the work, preserve what your team knows, and reduce dependency without pretending every system must be replaced.
Custom softwareAI integrationPrivate AIDeployment + training
Join Myte What does MYTE Group build?▾
MYTE builds custom business operating systems: ERP and workflow software, role-specific portals, integrations, private or cloud AI paths, deployment controls, documentation, and team training.
Is MYTE an AI automation agency?▾
MYTE can deliver AI automation, but the engagement goes further. We map the process, build the custom software and integrations, govern the AI path, deploy the system, and prepare the people who will operate it.
Can MYTE work with our existing ERP, CRM, files, and APIs?▾
Yes. We identify what should remain, what should connect, and what should be replaced before changing the operating stack.
Who owns the code, data model, and operating knowledge?▾
Ownership is defined in scope. For the system MYTE builds, delivery can include source, data models, deployment context, operating guides, and training for the responsible team.
Can AI run locally, privately, or in a hybrid model?▾
Yes. The model and hosting path are selected per workflow using data sensitivity, throughput, latency, cost, support, and human-review requirements.
What does the first engagement look like?▾
We start with one bounded workflow, define the people, records, decisions, integrations, and acceptance evidence, then deliver the smallest production release that can be evaluated in real use.
One bounded problem
Start with the workflow your team is tired of rebuilding by hand.
Tell MYTE who performs the work, which records move, where decisions stall, and what a useful first release would change.
1Map the operating pressure
2Ship one measurable production release
3Expand from operating evidence
Join Myte
Start narrow. Prove value. Expand only where the evidence supports it.