Services
AI development and consulting that ships to production.
From AI strategy to production-grade agents and automation, engineered for measurable business outcomes, not experiments.
Aggregate results across recent engagements.
What it costs you today
AI pilots never reach production
Demos impress the exec team but stall on data plumbing, evaluation, security review and integration into real workflows.
No in-house AI talent
Hiring senior AI engineers is slow and expensive. Meanwhile the business needs models running against real users this quarter.
No clear AI roadmap
Teams chase every new model instead of a sequenced plan that ties use cases to outcomes, risk and cost.
Models don't fit real workflows
Off-the-shelf assistants ignore your CRM, EHR, calendars and knowledge base and end up as unused browser tabs.
What we deliver
AI strategy & roadmap
A prioritized use-case portfolio, business case, ROI model, architecture and 12-month sequence.
GenAI & LLM applications
Copilots, assistants and generative apps grounded in your data, with citations and guardrails.
Custom AI agents
Autonomous agents for sales, support, ops and back office, integrated into the tools your team already uses.
RAG & knowledge systems
Retrieval-augmented systems that answer from your SOPs, docs and databases with cited sources.
Model integration
OpenAI, Anthropic, Google Gemini, open-source and private models, chosen for accuracy, cost and latency.
MLOps & production deployment
Evaluation, monitoring, guardrails, versioning and CI/CD so AI keeps working after launch.
How it works
Assess
Value discovery, data audit, feasibility and ROI model.
Prototype
2-4 week POC against real data with measurable success criteria.
Build
Production system with evaluations, guardrails and integrations.
Deploy
Phased rollout with monitoring, human-in-the-loop and change management.
Optimize
Ongoing model, prompt and workflow tuning against business KPIs.
Technology & tools
Aggregate results across recent engagements.
Why teams choose Appnox
Senior-only AI teams
Applied ML, LLM and platform engineers with production track records, no juniors staffed as leads.
Outcomes over demos
Every engagement ties to a business KPI, not a slide deck.
Full-stack, not just prompts
Data, retrieval, model, evaluation, integration, UX and MLOps under one roof.
Privacy-first architecture
Your data never trains foundation models. Private deployment options available.
Speed to value
First production impact within a quarter, not a fiscal year.
You own the IP
All code and artifacts we build are yours.
Frequently asked questions
Let’s talk.
Share what you’re trying to solve. A senior engineer, not an SDR, will reply within 1 business day.