Start a Project

ServicesAI + automation

Put AI inside the work. Not beside it.

We connect models, business rules, data, and the tools your team already uses so useful work happens automatically. Information gets extracted, decisions get prepared, records get updated, and people stay in control.

See it in practice
Order pipeline connecting customer, warehouse, and staff

Where we start

Automation is valuable when it finishes a real task.

A chatbot alone rarely changes an operation. The leverage comes from giving intelligence the right context, a defined job, access to the right tools, and a clear handoff to the person responsible for the decision.

Stop copying, sorting, and chasing.

Extract information, route work, create records, prepare documents, and follow up without redoing the same steps.

Bring the evidence to the decision.

Combine business data, documents, photos, external sources, and rules into a useful recommendation.

Automate the preparation, not the accountability.

Permissions, review steps, audit trails, and explicit approvals where the decision belongs to a person.

Featured · Staker Collins Flip OS

A working AI-enabled operating system. Not a demo chatbot.

Flip OS brings property pipeline, deal evaluation, listing and comps analysis, photo review, repair sheets, files, outreach, finance, and scheduled automations into one secure product.

Staker Collins Flip OS: property, expenses with receipt extraction, vendors, and punch list

AI that knows the property, the process, and the next action.

Task-specific models support deal analysis, comparable sales, listing extraction, property Q&A, outreach, negotiation, receipt extraction, and photo analysis, inside the workflow where the team already works.

Visit the live platform →

Where it earns its keep

Focused jobs with clear inputs and an accountable owner.

The model is one component of the workflow, not the product strategy. We pick tasks with enough volume, context, and business value to justify automation.

Documents, images, and unstructured data

Extract fields, classify information, summarize history, compare versions, read receipts, analyze photos, and turn messy inputs into usable records.

Research and recommendation copilots

Gather context, apply business rules, surface exceptions, prepare scenarios, and give a decision-maker a stronger starting point.

Drafting, outreach, and service workflows

Prepare client-ready messages, offers, follow-ups, summaries, and responses using the approved voice, context, and next step.

Connected and scheduled automation

Create folders, update records, sync tasks, send transactional email, monitor conditions, and move work across systems without manual handoffs.

How we work

Built for trust, not novelty.

Useful automation needs more than a clever prompt. We design the data path, permissions, fallbacks, review state, and operational ownership so the system stays understandable after the demo.

  1. 01

    Choose the task

    Find repeatable work with enough volume, context, and business value to justify automation.

  2. 02

    Ground the model

    Connect approved data, rules, examples, and tools so outputs are relevant to the actual operation.

  3. 03

    Design control

    Add permissions, confidence states, human review, fallbacks, and audit history where the risk requires them.

  4. 04

    Measure and improve

    Watch the workflow in use, correct failure modes, and expand only after the first job is dependable.

The standard

The best AI feature disappears into a better way of working.

The user should feel that the system understands the context, prepares the right next step, and leaves control where it belongs.

Flip OS on a phone

Context

It knows the record it is working on.

The property, the customer, the order, the job. Not a blank chat window asking you to paste everything in.

Next step

It prepares, then hands off.

A drafted offer, an extracted receipt, a flagged exception, ready for the person who owns the decision.

Control

People approve what matters.

Confidence states, review queues, and audit history where the cost of being wrong is real.

Reliability

It keeps working after the demo.

Fallbacks, logging, and clear ownership so the workflow holds up in month six, not just week one.

Scope and investment

Every automation engagement starts with one workflow.

We scope around a single repeatable task with a clear owner, then expand only after it is dependable. You get the scope, timeline, and investment in writing before work begins.

Start with one workflow worth automating.

Show us the repetitive task, the information it depends on, and where the result needs to go.

Explore custom software