Artificial Intelligence Company in the USA
Production AI Development Company Building Intelligent, Scalable Systems
We ship production AI, not slide-deck prototypes. As a senior AI development company, we build and deploy LLM applications, RAG systems, autonomous agents, NLP, speech, and computer vision across OpenAI (GPT-4o), Anthropic Claude, Google Gemini, DeepSeek, and Qwen — backed by the MLOps that keeps them accurate, fast, and online. All under one roof.
Triple AI Guarantee
- Model Accuracy Assured
- Production-Grade Deployment
- Continuous Optimization
Triple AI Guarantee:
- Model Accuracy Assured
- Production-Grade Deployment
- Continuous Optimization
AI Projects Delivered
0
+
Client Rating
0
★
AI Disciplines
0
+
Our AI Service Suite
LLM & GenAI
200+ Builds
RAG Systems
90+ Deployed
AI Agents
70+ Shipped
NLP & NER
120+ Models
Computer Vision
60+ Systems
Speech (TTS/STT)
50+ Voices
Machine Learning
80+ Models
Fine-Tuning
40+ Tuned
MLOps
99.5% Uptime
Model Accuracy
95%+
On-Time Delivery
96%
↑ 4%
Repeat Clients
81%
Trusted By Startups
The Value of One Trusted AI Company in the USA
Stallyons is a senior AI development company serving founders, product leaders, and enterprise teams across 50+ industries in the USA. We are not a demo shop or a single-model reseller. We design, build, and operate intelligent systems that survive contact with real users, real data, and real budgets.
Most teams buy an AI pilot, get a slick demo, and then watch it stall on the way to production. We have watched it happen for years: the model hallucinates on edge cases, API costs balloon, accuracy drifts, and nobody owns the MLOps. We build AI the opposite way — production-grade from day one, multi-vendor by design, and instrumented so you can measure accuracy, latency, and cost from the first deploy.
Our Full AI Range
Production LLM Integration: End-to-end applications on OpenAI (GPT-4o, Assistants API), Anthropic Claude (Opus, Sonnet, Haiku, MCP), Google Gemini (Pro, Flash), DeepSeek, and Qwen — prompt engineering, function calling, structured outputs, streaming, and cost-optimized model routing.
RAG & Knowledge Systems: Retrieval-Augmented Generation over your documents, databases, and knowledge bases — chunking strategy, embeddings, vector stores (pgvector, Pinecone, Weaviate), re-ranking, and grounded, citation-backed answers that stop hallucination.
AI Agents & Orchestration: Autonomous and human-in-the-loop agents with tool use, function calling, and multi-step planning built on LangGraph, the OpenAI Assistants API, and Claude MCP — wired safely into your CRMs, ERPs, and internal APIs.
NLP & Language Intelligence: Custom Named Entity Recognition, sentiment and intent classification, summarization, and semantic search powered by fine-tuned transformers and embeddings — tuned to your domain vocabulary, not a generic API.
Speech & Computer Vision: Text-to-Speech and Speech-to-Text (ElevenLabs, Whisper, Polly, Azure, Google, OpenAI), plus facial recognition, liveness detection (BIPA-compliant), OCR, and image classification for real-world visual intelligence.
Machine Learning & MLOps: Custom forecasting, classification, and recommendation models, fine-tuning (LoRA, RLHF, domain adaptation), plus the MLOps that keeps them alive — CI/CD, evaluation harnesses, monitoring, drift detection, and automated retraining.
Why Stallyons Is the AI Company Businesses Trust
- Production-Grade, Not Prototypes: We ship AI that runs under real load with guardrails, evals, and fallbacks — not a Jupyter notebook that only works in the demo. Every system is instrumented for accuracy, latency, and cost from day one.
- Multi-Vendor by Design: OpenAI, Anthropic Claude, Google Gemini, DeepSeek, and Qwen — we pick the right model per task and route across providers for cost and reliability. No single-vendor lock-in, no betting your roadmap on one API.
- Senior ML Engineers Only: No outsourced juniors. The engineer who scopes your system trains and ships it. The architect who designs your RAG pipeline is the one who reviews it in production.
- Accuracy You Can Measure: We define eval sets and accuracy targets up front, then price on hitting them — not on chair-time. If the numbers slip, we keep working until they hold.
- MLOps That Keeps It Running: Monitoring, drift detection, prompt and model versioning, and automated retraining. Your AI stays accurate after launch instead of quietly rotting.
- Compliance Out of the Box: HIPAA, SOC 2, GDPR, BIPA, and CCPA-aligned AI engineering — including BIPA-compliant biometrics — with documentation that survives auditor review on day one.
How to Start Your AI Project
Every engagement starts with a free 45-minute AI strategy session. No slide deck and no sales script. You bring the use case, we map the model stack, data pipeline, and rollout path, and you leave with a clear picture of whether AI is the right fit — and what it will actually cost to run.
We are selective about new engagements. We cap our active client count to maintain the senior-ML-engineer-to-project ratio our accuracy bar requires. If we say yes to your project, it gets a senior team — not a queue.
Why Clients Choose Us
200+
AI Projects Delivered
95%+
Avg. Model Accuracy
81%
Repeat Client Rate
4.9/5
Clutch Rating
Ready to move your AI from demo to production with one senior team?
10 AI Capabilities
Every AI Discipline You Need Under One Roof
Ten AI capability areas across LLMs, agents, NLP, speech, vision, and MLOps. Pick one, or let us assemble the full intelligent stack.
LLM & Generative AI
OpenAI, Claude, Gemini, DeepSeek, Qwen
5 PLATFORMS
RAG & Knowledge
Embeddings, vector DBs, retrieval
4 CAPABILITIES
AI Agents
Orchestration, function calling, tools
4 CAPABILITIES
NLP
Custom NER, sentiment, embeddings
4 CAPABILITIES
Speech AI
Text-to-Speech, Speech-to-Text
2 SUITES
Machine Learning
Forecasting, classification, recsys
5 MODELS
Fine-Tuning
LoRA, RLHF, domain adaptation
3 METHODS
MLOps
CI/CD, monitoring, retraining, evals
5 TECHNOLOGIES
Computer Vision
Facial recognition, liveness, OCR
1 SUITE
Data & Analytics
ETL, BI, forecasting, dashboards
4 CAPABILITIES
Not sure which AI capability fits your roadmap? Let's map it together.
Common Challenges
Is Your Business Falling Behind Without AI?
These signals mean manual work, buried data, and stalled pilots are quietly costing you speed, margin, and market position.
Manual Work That Should Be Automated
01
Your team spends hours on tasks an AI agent could handle in seconds — triaging tickets, extracting data, drafting responses. Every manual hour is margin you are lighting on fire.
Data You Can't Turn Into Decisions
02
You have documents, tickets, and databases full of signal, but no way to query them in plain language. Without RAG and embeddings, that knowledge stays locked away from the people who need it.
Generic Chatbots That Frustrate Users
03
An off-the-shelf bot that hallucinates, forgets context, and can't touch your real systems does more harm than good. Users lose trust after the first wrong answer.
AI Pilots That Never Reach Production
04
The demo dazzled leadership, then died on the way to production — no evals, no guardrails, no MLOps. Most AI projects stall here, and the budget stalls with them.
Runaway LLM API Costs
05
Naive prompts and the wrong model for every task turn a promising feature into a budget line nobody can predict. Cost-optimized routing and caching are the difference between viable and abandoned.
Models That Drift and Break Silently
06
Accuracy that looked great at launch quietly decays as the world changes. Without monitoring and drift detection, you find out from angry users instead of a dashboard.
Recognize any of these? Let's put AI to work for you.
Our AI Services in Depth
6 Core AI Service Lines Built to Compound
Each service is a senior ML team. Mix, match, or run them in parallel. Every line is built to feed every other.
LLM & Generative AI
01
Production applications on OpenAI GPT-4o, Anthropic Claude, Google Gemini, DeepSeek, and Qwen — prompt engineering, function calling, structured outputs, streaming, and cost-optimized model routing across providers.
RAG & Knowledge Systems
02
Retrieval-Augmented Generation over your documents and databases — chunking, embeddings, vector stores, re-ranking, and grounded, citation-backed answers that eliminate hallucination.
AI Agents & Orchestration
03
Autonomous and human-in-the-loop agents with tool use and multi-step planning on LangGraph, the OpenAI Assistants API, and Claude MCP — wired safely into your CRMs, ERPs, and internal APIs.
NLP & Language Intelligence
04
Custom Named Entity Recognition, sentiment and intent classification, summarization, and semantic search on fine-tuned transformers and embeddings — tuned to your domain, not a generic endpoint.
Computer Vision & Speech
05
Facial recognition, liveness detection (BIPA-compliant), OCR, and image classification, plus Text-to-Speech and Speech-to-Text via ElevenLabs, Whisper, Polly, Azure, and Google.
Machine Learning & MLOps
06
Custom forecasting, classification, and recommendation models, fine-tuning (LoRA, RLHF), plus the MLOps that keeps it running — evals, monitoring, drift detection, and automated retraining.
Need to combine multiple AI service lines into one engagement?
Why Partner with Us?
The Business Value of a Senior AI Company Across 10+ Disciplines
What you get when one senior ML team owns the whole journey — from use case to production to the MLOps that keeps it accurate.
Production-Grade, Not Demos
01
We ship AI that runs under real load with guardrails, evals, and fallbacks — instrumented for accuracy, latency, and cost from day one. No notebook-only prototypes.
Multi-Vendor, No Lock-In
02
OpenAI, Claude, Gemini, DeepSeek, and Qwen — we pick the right model per task and route across providers for cost and reliability, so your roadmap never depends on one API.
Measurable Accuracy & ROI
03
We define eval sets and accuracy targets up front and price on hitting them. If the numbers slip, we keep working until they hold — no chair-time billing.
Compliance Out of the Box
04
HIPAA, SOC 2, GDPR, BIPA, and CCPA-aligned AI engineering — including BIPA-compliant biometrics and liveness — ready for auditor review on day one.
Cost-Optimized LLM Ops
05
Prompt design, caching, model routing, and token budgeting keep inference costs predictable at scale — the difference between an AI feature that ships and one that gets shelved.
81% Repeat Client Rate
06
Most clients come back for a second engagement, because the accuracy and uptime hold up long after launch.
Ready to ship production AI with one senior team?
Our Process
From Strategy Session to Deployed AI in 6 Proven Steps
A structured methodology applied across LLM, RAG, agent, NLP, vision, and machine-learning engagements alike.
Discovery
Free 45-min AI use-case session
Data Prep
Data audit, cleaning, pipelines
Model Dev
Model selection, RAG, fine-tuning
Integrate
APIs, agents, function calling
Deploy
Evals, guardrails, production ship
Optimize
MLOps, monitoring, retraining
Want to see how this maps to your specific AI use case?
Technology Stack
The Full Stallyons AI Stack: 200+ Technologies
End-to-end expertise across every major AI framework, model provider, and MLOps platform.
Web & Backend
Next.js / React
Node.js / Vue
Python / Django
.NET / Java
TypeScript
Mobile & Cross-Platform
Swift / iOS
Kotlin / Android
React Native
Flutter
Ionic / HarmonyOS
AI / ML / Data
OpenAI / Claude
Gemini / Qwen
PyTorch / TensorFlow
Hugging Face
SageMaker / Vertex AI
Ecommerce & CMS
Shopify / Plus
BigCommerce
WooCommerce
Magento / OpenCart
Webflow / Framer
Cloud & DevOps
AWS / GCP / Azure
Docker / K8s
Terraform / IaC
GitHub Actions / CI
Datadog / Grafana
Technology Stack
The Full Stallyons AI Stack 200+ Technologies
End-to-end expertise across every major AI framework, model provider, and MLOps platform.
Web & Backend
Next.js / React
Node.js / Vue
Python / Django
.NET / Java
TypeScript
Mobile & Cross-Platform
Swift / iOS
Kotlin / Android
React Native
Flutter
Ionic / HarmonyOS
AI / ML / Data
OpenAI / Claude
Gemini / Qwen
PyTorch / TensorFlow
Hugging Face
SageMaker / Vertex AI
Ecommerce & CMS
Shopify / Plus
BigCommerce
WooCommerce
Magento / OpenCart
Webflow / Framer
Cloud & DevOps
AWS / GCP / Azure
Docker / K8s
Terraform / IaC
GitHub Actions / CI
Datadog / Grafana
Industries We Serve
AI for 50+ Verticals, From Founders to the Fortune 500
Domain-tuned AI across the industries where intelligent automation compounds revenue and competitive moat.
Fintech & Banking
Payments, KYC, regulatory tech
Healthcare & HealthTech
HIPAA, telehealth, clinical SaaS
Retail & E-Commerce
DTC, B2B, marketplace, headless
EdTech & Learning
LMS, course platforms, proctoring
Manufacturing & Industrial
IoT, predictive maintenance, MES
Logistics & Supply Chain
Routing, fleet, warehouse, B2B
Legal & LegalTech
Document AI, contract analysis
Media & Entertainment
Streaming, content AI, audience
We understand your vertical. Let's build AI that leads it.
Why Choose Us?
How Our AI Company Compares To Alternatives
An honest look at your AI development options.
| Capability | Freelance ML Engineer | DIY (Raw LLM API) | Offshore AI Shop | Stallyons Technologies |
|---|---|---|---|---|
| Production-Grade Deployment | ✕ Notebook Only | ✕ Your Problem | Fragile | Battle-Tested |
| Multi-Vendor Model Routing | One Model | ✕ Single API | Whatever's Cheap | OpenAI + Claude + Gemini |
| RAG & Anti-Hallucination | Depends | ✕ None | ✕ Bolted On | Grounded + Cited |
| Evals & Accuracy Targets | Rarely | ✕ DIY | ✕ Vibes | Measured |
| MLOps & Drift Monitoring | ✕ None | ✕ None | Ad-Hoc | Automated |
| Cost-Optimized Inference | Sometimes | ✕ Runaway | Unmanaged | Routed + Cached |
| HIPAA / SOC 2 / BIPA Compliance | ✕ Risky | ✕ DIY | ✕ Risky | Out of Box |
| Post-Launch Partnership | Vanishes | Self-Serve | FTE Lease | Long-Term |
See the strategic difference for yourself
Complete Engagement
Everything You Get with an AI Partnership
From Data to Deployment to Growth All Under One Roof
Here's everything included when you partner with Stallyons:
All-Inclusive AI Delivery: No Vendor Lock-In, No Hidden Fees.
Every engagement includes all 8 components above. Mix and match AI service lines from any of our 10+ disciplines. One contract, one senior ML team, one accuracy bar.
🔒 No obligation. We'll deliver a detailed proposal within 48 hours.
Plus, Get These Free Bonuses
Free AI Opportunity Audit
A 30-point review of your data, workflows, and highest-ROI AI opportunities — model recommendations, feasibility, and cost-to-run estimates. Yours free whether you sign or not.
Included Free
AI Roadmap & Estimate
A phased delivery plan with model stack, data-pipeline map, milestones, and a transparent, itemized estimate across whichever AI service lines fit your roadmap.
Included Free
Proof-of-Concept Sprint
For qualifying engagements, a 1-week PoC sprint at no cost — a working model on your data so you see senior ML work product before committing to a full build.
Included Free
Risk-Free Partnership
Our AI Performance Guarantee
We stand behind every engagement with commitments that protect your AI investment.
01
Production-Grade Delivery
We deploy AI that runs under real load with guardrails, fallbacks, and evals — not a demo. One contract, one senior ML team, one accuracy bar across LLMs, RAG, agents, NLP, and vision.
02
Accuracy You Can Measure
Defined eval sets, accuracy targets, and drift monitoring on every project. If accuracy slips below the numbers we set together, we fix it at no extra cost.
03
Outcome-Focused Delivery
We price on the outcomes you care about — accuracy, latency, and cost-per-inference SLAs. If we miss the numbers we set together, we keep working until we hit them.
Build with zero risk, backed by our AI Performance Guarantee
Track Record
Engagements That Ship, Scale, and Compound
500+
Projects Delivered
29+
Service Categories
81%
Repeat Client Rate
4.9 ★
Clutch Rating
"We came to Stallyons after burning two years and four vendors on a multi-platform launch that kept slipping. They scoped it end-to-end — web app, iOS, Android, an AI summarization layer, and a Shopify integration — and shipped it in 22 weeks. One team, one budget, one quality bar. We've handed them three more engagements since."
Mark Sawyer
CEO/Founder
PlatinumLED
"Stallyons rebuilt our customer-facing portal, integrated three legacy systems, shipped an AI document analysis pipeline, and brought our compliance posture to SOC 2 — all under one engagement. The senior engineers on the team have shipped at companies five times our size. It's the best vendor decision we've made in a decade."
Mark Sawyer
CEO/Founder
PlatinumLED
FAQ
Frequently Asked Questions About AI
We design, build, integrate, and deploy production AI systems — LLM applications, RAG pipelines, autonomous agents, NLP, speech, computer vision, and custom machine-learning models — plus the MLOps that keeps them accurate and online. The goal is intelligent systems that survive real users and real data, not a demo that only works on stage.
It depends on the task, your data sensitivity, latency needs, and budget. GPT-4o is strong for general reasoning and tools; Claude excels at long-context, careful reasoning, and MCP integrations; Gemini is great for multimodal; DeepSeek and Qwen are cost-efficient and self-hostable. We are multi-vendor by design and route across providers per task — you are never locked to one API.
It depends on scope — a RAG chatbot MVP is very different from an enterprise agent platform or a fine-tuned vision system. Beyond build cost, we model your ongoing inference cost up front and optimize it with routing, caching, and the right model per task. After a free 45-minute session you get a fixed, itemized quote.
A focused RAG or LLM MVP typically ships in 4–8 weeks. Enterprise-grade systems with fine-tuning, agents, integrations, and compliance run 8–16 weeks or more. Our senior ML team skips long discovery loops, so you get a clear timeline before we start.
Yes. We implement encryption, secure API gateways, role-based access, and data-governance policies, and we build HIPAA, SOC 2, GDPR, BIPA, and CCPA-aligned systems — including BIPA-compliant facial recognition and liveness. Documentation is ready for auditor review on day one, and we can keep sensitive workloads on self-hosted DeepSeek or Qwen.
Retrieval-Augmented Generation connects an LLM to your proprietary documents, databases, and knowledge bases so answers are grounded in your data with citations, instead of hallucinated. If your AI needs to reference internal information accurately, RAG is almost always the right architecture — and it is one of our core service lines.
Yes. We build agents with tool use, function calling, and multi-step planning on LangGraph, the OpenAI Assistants API, and Claude MCP, wired safely into your CRMs, ERPs, SaaS tools, and internal APIs — with human-in-the-loop controls and guardrails so automation enhances your workflows without breaking them.
That is what MLOps is for. We ship evaluation harnesses, monitoring, drift detection, and prompt/model versioning so accuracy holds up over time, plus automated retraining when it slips. On cost, we optimize prompts, caching, token budgets, and model routing so inference stays predictable at scale.
Still have questions? Let's talk.
Schedule an appointment with us today!
Ready to Ship Production AI That Compounds?
Get a free 45-minute AI strategy session. Bring the use case, walk away with a model stack, data plan, and a clear path to production — just senior ML advice from a trusted AI company in the USA.
