Choose where the model runs
We compare hosted frontier models and open-weight models using samples of your work. We can run models locally when the hardware, data handling requirements, and workload make that a good fit.
AI automation services in Colorado
We help businesses in Colorado Springs and across Colorado build custom AI solutions that fit their existing tools and workflows. We identify where a model helps, define the rules the software must follow, and measure how well the process works in practice.
Example workflow: supplier invoices
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Model reads the document
Extract the invoice fields from a PDF and return them in a defined format.
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Code checks the result
Match the vendor to a record, recalculate totals, and check for duplicates.
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People review exceptions
Send mismatches to a reviewer with the source document and the failed check.
What we build into your AI system
Set clear guardrails
Limit what the model can read, write, and trigger. Validate its output, use narrowly scoped permissions, and send exceptions or high-impact actions to a person for approval.
Spend tokens where they help
Keep prompts and retrieved context focused. Compare smaller and larger models on real tasks and measure token use, latency, and result quality before changing the workflow.
Improve from evidence
Build evaluations from real examples and known failures. Track corrections, review rates, and run times so you can see which changes make the process more reliable.
Give each part of the workflow a clear job
Large language models can interpret a message, summarize a document, or extract information from text. We use deterministic code for rules that need the same result every time, such as calculations, permission checks, and updates to a system of record.
We start with one workflow and measure how it performs. As real cases come in, we can simplify prompts, change models, or move a well-understood step into code. Each change has a baseline for comparison.
Hands-on AI training for teams
We train companies that are getting started with AI and teams that want to get more from the tools they already use. Bring a recurring task, and we’ll show you how to turn one-off prompts into a workflow your team can run and maintain.
For example, your team can turn incoming requests into draft tickets, check for missing details, and send exceptions to a person for review. We teach your team how to connect the tools, set guardrails, and test the workflow so it can take recurring work off your plate.