AI ServicesReno, NV7 min
AI Consulting in Reno, Nevada: From Idea to Working Product
Reno's logistics, tourism, gaming-adjacent tech, and startups need AI that ships. We turn use cases into production features.
Read article →AI software development
AI that does real work, in production.
Most AI projects stall between a clever demo and something your team trusts. We build the unglamorous parts that close that gap: clean data access, evaluation, guardrails, human handoff and monitoring, so the model's output is something you can rely on.
01Scope
What we build
01
Intake and support assistants
Assistants grounded in your documents and processes that qualify leads, answer routine questions and hand off cleanly to a person.
02
Document and data extraction
Turn invoices, forms, reports and emails into structured records your systems can act on, with confidence scores and review queues.
03
Workflow automation
Multi-step automations that read, decide and act across your tools, with logging so every action is traceable.
04
Custom ML models
Prediction, classification and signal analysis where a purpose-built model beats a general-purpose LLM on cost and accuracy.
05
AI features inside your product
Search, summarization, generation and recommendations embedded in your existing web or mobile app.
06
AI products from scratch
End-to-end builds, from model pipeline to user interface, for teams launching an AI-first product.
02Approach
How we de-risk an AI build.
- 1
Use-case and data review
We test whether AI is the right tool, what data it needs, and what 'good' looks like in numbers, before writing production code.
- 2
Pilot against real inputs
A narrow pilot on your actual documents or conversations, evaluated against a test set we define together. Pilots often ship in weeks.
- 3
Guardrails and human fallback
Confidence thresholds, escalation paths and review queues so edge cases reach a person instead of a customer.
- 4
Production and monitoring
Deployment with cost, latency and quality tracking, plus a plan for model updates as vendors and your data change.
03Fit
Typically a good fit when
- Staff spend hours a day on repetitive inquiries, data entry or document review
- You have a process that depends on one person's judgment and want it available around the clock
- You are adding an AI feature to a product and need engineers who have shipped AI before
- A previous AI experiment impressed in a demo but never made it into daily use
04Proof
Related work.
Medsensio
Medsensio Virtual Clinic
AI-powered remote care platform for detecting lung and heart abnormalities with home monitoring and clinician analytics.
Dreambox AI
DreamBox AI
AI platform that turns scripts into cinematic animated episodes with automated video generation pipelines.
InstantDP
InstantDP
AI profile-picture generator that scaled to millions of users with fast, lightweight processing.
UiT The Arctic University of Norway
reMind
AI voice analytics platform for early detection and monitoring of cognitive decline through speech biomarkers.
05Insights
Local guides and field notes.
AI ServicesGreenville, SC8 min
AI Services in Greenville, SC for Manufacturers and Growing Brands
Greenville's manufacturing and business boom creates data. AI turns that data into fewer surprises and faster decisions.
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AI ServicesAsheville, NC7 min
AI Automation in Asheville, NC for Service Businesses and Clinics
Asheville teams are busy serving customers. AI should remove admin drag — intake, FAQs, follow-ups — so humans stay on high-value work.
Read article →06Questions
Answers before you book.
What does an AI pilot cost?+
AI intake assistants start around $8,000 and often ship in three to six weeks. Larger automation and ML builds are scoped after a use-case review.
Do you build with OpenAI, Anthropic or open-source models?+
We choose the model per use case based on accuracy, latency, cost and data-privacy requirements, and design the system so the model can be swapped later.
How do you keep AI output accurate and safe?+
We define an evaluation set up front, ground answers in your own data, add confidence thresholds, and route uncertain cases to a human. Quality is measured, not assumed.
Will our data be used to train third-party models?+
We configure vendors so your data is not used for training, and can deploy within your own cloud account when your requirements demand it. Details go in the contract.
Is post-launch support included?+
Yes. Every project we deliver includes 6 months of post-launch support: bug fixes, security updates, monitoring and technical help on what we built. New features are scoped separately.