For established businesses
Enterprise-Grade Engineering for Growing Businesses
Add AI to existing products, modernize legacy software, and ship reliable features—without the overhead of hiring a full in-house team.
✓ SOC 2-minded practices · ✓ NDA + IP assignment standard · ✓ Retainers from $6K/mo
Build vs partner
Why Not Hire In-House?
A senior engineer hire takes months to recruit and ramp. MindEncoder gives you a senior squad on day one.
Trusted by teams building SaaS, commerce, healthcare, and field-operations products. Client logos available on request during scoping.
Sound familiar?
Where the hours go
Customers wait for answers we already have
Our software is old and hard to change
We know AI matters but don't know where to start
What we do
Practical AI and software, one workflow at a time
Automate a workflow
AI engineering and automation.
AI Engineering & AutomationBuild or modernise a business app
SaaS and product engineering.
SaaS & Product EngineeringKeep it running and improving
Continuous product engineering.
Continuous Product EngineeringHow it starts
Your first AI project, in three steps
1
AI opportunity review
Free, 45 minutes.
2
Fixed-scope pilot on one workflow
3–6 weeks.
3
Roll out and measure
Roll the workflow out and measure the result.
Examples
What this looks like in practice
Read invoices into the systems your team already uses
Answer support queries from documents you already have
Draft reports for staff to approve
Turn requests already in your tools into a schedule
Search years of internal documents for an answer already on file
Turn field photos and notes into reports
Proof
Results we've measured
Organic visits for an e-commerce client, July 2020 to January 2022.
AI pilots in progress
Published AI pilot write-ups will appear here as each engagement is cleared for public description. Until then, ask for a relevant Upwork review on the call.
Request an AI reviewData and security
Your data stays yours
Which models
We tell you which models the workflow uses.
Where data is processed
We tell you where that data is processed.
Access controls
Access is limited to the people and systems the workflow needs.
Nothing used for model training
Your data is not used for model training.
FAQ
Questions business owners ask
We tell you which models the workflow uses, where the data is processed, and how access is controlled. Your data is not used for model training.
Yes. AI connects to the systems you already use. The review starts from the tools your team uses today.
The first project is a fixed-scope pilot on one workflow (3–6 weeks). Payback is what you measure when that workflow is rolled out. MindEncoder has not published a payback figure.
We are the engineers for the project, including support after launch. If you later hire your own team, you own the code.
Ongoing work typically uses Continuous Product Engineering retainers from $6K/mo (40 hours) to $15K/mo (120 hours), month-to-month. Larger dedicated squads are quoted after scoping.
Next step