ai foundations

Get your AI infrastructure right and scale with confidence.

You're already building AI. The question is what it's standing on. FullStack builds the five foundations underneath every AI application — models, routing, knowledge, governance, and the expert data that trains it all.

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We’ll explore your technology goals and challenges
You’ll get expert insights on the best path forward
We’ll outline next steps to bring your solution to life
AI FOUNDATIONS

Get your AI infrastructure right and scale with confidence.

Our foundational AI offerings are built to work on their own, and to compound when you add more.

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Specialized Models

Small, task-specific models that cost less to run, keep your data inside your perimeter, and stay yours for good.
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AI Gateway & Model Routing

One control plane that sends every request to the model that makes the most sense for cost, speed, quality, and security with automatic failover.
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Enterprise Knowledge Access

Answers from your real wikis, drives, and tools, cited and permission-checked against the access rules you already have.
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Agent Security & Governance

Every agent gets a verified identity, a permission set scoped to its task, and a tamper-evident record of what it did.
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Data Annotation & Model Training

Certified domain experts for annotation, RLHF, and evaluation, with a benchmark-measured quality scorecard on every batch.
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We'll map what your AI is running on today.
You'll get a clear read on where the cost, risk, or quality is leaking.
We'll show you which foundation to start with and what it's worth.
Case Studies

Our client impact in action

AI Research Assistant Accelerates Client Journey

Lux Research, a research and advisory firm, faced a specific bottleneck: 75% of client inquiries took more than seven days to schedule manually. FullStack built an AI-powered assistant that delivers cited insights in seconds and matches clients to the right analyst, enabling instant scheduling.

AI Document Processing Cuts Costs by 50%

A logistics provider's legacy document system, estimated at over $1 million annually, was inefficient and unscalable. FullStack built a scalable AI solution that reduced processing times by 75% and cut costs in half while maintaining accuracy and reliability.

AI Call Auditor Automates 99% of Reviews

A regulatory compliance firm partnered with FullStack on a proof of concept for an AI system that reviews calls for potential SEC violations, scoring accuracy and confidence on every transcript. Reviewers went from reading every transcript to adjudicating the 1% the system flags — an estimated 5,500 labor hours and $232,000 a year of review capacity returned to the team.

testimonials

What our clients are saying

“FullStack’s deep understanding of BenjaminWest’s needs, coupled with consistent updates, made the collaboration seamless and the outcome outstanding.”
Joe Eikelberner, COO
BenjaminWest
“FullStack acted as true partners and advisors. The expertise around AI and the level of developers, engineers—whatever role it was that came to the table—was just phenomenal."
Marisa Kopec, CEO
Lux Research
Speed is only the byproduct; the real value is better software and better use of our people.
Raj Tatta VP of Engineering
Paciolan
MOVING SAFELY

Prove the foundation before you build on it.

Every foundation starts with a fixed-fee assessment or a paid pilot, run against your own systems and your own data. You see the result before you commit to a build.
A group of business professionals collaborating in a lush urban park with towering skyscrapers in the background, symbolizing innovation and efficiency. The scene represents machine learning models optimizing business operations, as technology and sustainability converge to enhance productivity and decision-making in a modern corporate environment.

Proof in one to four weeks

An audit, a modeled business case, or a first scored batch — depending on the foundation — before anything larger gets scoped.

A group of business professionals collaborating in a lush urban park with towering skyscrapers in the background, symbolizing innovation and efficiency. The scene represents machine learning models optimizing business operations, as technology and sustainability converge to enhance productivity and decision-making in a modern corporate environment.

Start with one, not five

The foundations compound, but they're not a bundle. Most clients begin wherever the pain is loudest and add the others as needs grow.

A group of business professionals collaborating in a lush urban park with towering skyscrapers in the background, symbolizing innovation and efficiency. The scene represents machine learning models optimizing business operations, as technology and sustainability converge to enhance productivity and decision-making in a modern corporate environment.

Own the layer that pays back

Owning the control plane is cheap and reversible. Owning model weights is only worth it when a data boundary or workload volume demands it — self-hosting a frontier-class open model runs roughly 10–11× more per token than the hosted version of the same weights. We'll tell you which side of that line you're on.

A group of business professionals collaborating in a lush urban park with towering skyscrapers in the background, symbolizing innovation and efficiency. The scene represents machine learning models optimizing business operations, as technology and sustainability converge to enhance productivity and decision-making in a modern corporate environment.

Benchmarked on your data, not ours

Published routing and model benchmarks don't transfer to your traffic. We rebuild the evaluation set on your real workloads, which is the only place the number means anything.

COMPREHENSIVE SOLUTIONS

Explore FullStack's AI foundation services.

From task-specific models to governed agent identity, FullStack builds and operates the layer underneath your AI applications. Each service works on its own and compounds when you add another — because they're built as one system rather than five vendors meeting at a seam.
  • Task-specific model training and fine-tuning
  • Private and air-gapped model deployment
  • AI gateway and control plane build
  • Intelligent model routing and failover
  • Cost attribution and AI FinOps instrumentation
  • Permission-aware enterprise knowledge retrieval
  • MCP server and custom connector development
  • Agent identity, policy, and audit infrastructure
  • Expert data annotation, RLHF, and benchmark design

Partner with FullStack and own the layer underneath your AI.

Enterprise Partnerships

Foundations built for regulated, multi-cloud estates

For organizations with proprietary data that can't leave the perimeter and agents scaling across AWS, GCP, and Databricks, we build one governance and control layer that holds consistently across all of them.
Mid-Market Solutions

Infrastructure you don't need a platform team to run

For teams with real AI spend and no dedicated AI platform function, we build the foundation, prove it on your traffic, and train your team to operate it without us.
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Featured articles

The missing middle: why enterprise AI programs die between capability and outcomes

Enterprise AI programs rarely stall because of the model or the use case. They stall in the control layer: evals, observability, identity, guardrails, and attribution.
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AI Readiness Assessment: Framework, Scorecard, and Next Steps

Ready for AI? Learn how to assess your business opportunities & develop a plan to leverage AI development services.
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Generative AI ROI: Why 80% of Companies See No Results

Generative AI promises big returns, but 80% of companies struggle to see impact. Discover why—and how tailored software development drives ROI.
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