SPECIALIZED MODELS

The right AI model for the job.

Break free from high-token habits with custom, task-specific models. We build small models suited to one use case that cost less to run, keep your data private, and stay yours for good.

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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
PAYING FRONTIER PRICES?

Own a model that does one job better, and costs less.

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Sorting and routing

Every ticket, document, or request that needs a fast, consistent call on where it goes. High volume, low ambiguity, and the most expensive thing you can hand a frontier model.

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Reading and extracting

Pull the exact fields and facts out of contracts, claims, invoices, or forms, every time. Fine-tuned on your document types rather than prompted at a generalist.

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.

Summarizing at volume

Turn long calls, chat logs, or case files into a short summary someone can actually use — at a unit cost that survives running it a million times a month.

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Powering agent workflows

Handle the small, repetitive steps inside an agent pipeline so the general model isn't stuck doing them. Agent pipelines multiply cheap calls, which is exactly the wrong profile for frontier pricing.

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Enterprise software platforms

Develop the systems that run your business.

  • ERP and CRM development
  • ATS and internal operations tools
  • Workflow automation systems
  • Enterprise system integrations
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Intelligent software architecture

Design software foundations built for long-term scale.

  • Scalable system architecture
  • Performance and reliability engineering
  • Cloud-native infrastructure design
  • AI-enabled engineering workflows
We'll find the AI tasks draining your budget month after month.
You'll get a modeled ROI on your own volume and costs.
We'll outline the model, the training approach, and where it runs.
Case Studies

Our client impact in action

AI document system cuts processing costs by 50%.

A logistics provider’s legacy document system cost the firm more than $1 million annually, couldn't scale, and suffered significant downtime. FullStack built a scalable AI solution that reduced processing times by 75% and cut costs in half, all while maintaining high accuracy and reliability.

AI call auditor automates 99% of reviews.

A regulatory compliance firm partnered with FullStack to build an AI system that reviews calls for potential SEC violations. The tool scores accuracy and confidence, reducing human review to just 1% of transcripts and saving an estimated 5,500 labor hours and $232,000 annually.

Candidate Matching on Our Own Platform

FullStack is building a specialized model for Connect, our own vetted-engineer platform, handling candidate-to-role matching and skills extraction — a high-volume task on proprietary data. We'll publish the accuracy, cost per task, and latency against the frontier baseline.

AI built for you

See the numbers before you commit to a build.

Every specialized model engagement opens with a fixed-fee Opportunity & Data-Readiness Assessment: candidate use cases, a data quality read, a cost baseline, and a modeled ROI.
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A tested business case in 2–3 weeks*

You get a prioritized use case and the arithmetic behind it before any training work is scoped.

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Production in 8–12 weeks*

From an approved business case to a validated model running inside your systems, data quality permitting.

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.

Proven side by side on your data

We test the model against your current AI tooling on your own eval set until it wins on cost, speed, and accuracy. If it doesn't, you find out during the assessment, not after a build.

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Honest advice

Specialized models win on high-volume, repeatable work. For the genuinely ambiguous reasoning tasks, a frontier model is still the right tool, and we'll say so — usually we route between both.

*These are typical time estimates and actual times may differ based on project complexity and scope.
COMPREHENSIVE SOLUTIONS

Explore FullStack's specialized model services.

We analyze the problem and the data, choose the base model and training approach, build and validate against success criteria on your workloads, deploy inside your environment, and operate it as your data evolves.
  • Opportunity and data-readiness assessment
  • Base model selection and training strategy
  • Fine-tuning, distillation, and adapter-based training
  • Training data preparation and pipelines
  • Evaluation harness and success-criteria design
  • VPC, on-premise, and air-gapped deployment
  • Inference cost and latency optimization
  • Drift monitoring and scheduled retraining
  • Multi-model orchestration via AI Gateway

Partner with FullStack and own a model that is built for your business.

Enterprise Partnerships

Built for regulated and sovereign data

For financial services, healthcare, legal, and government workloads, we deploy inside your perimeter — VPC, on-premise, or fully air-gapped — and you hold the weights and the audit trail.
Mid-Market Solutions

Move your highest-volume work off frontier pricing

For teams whose AI bill is growing faster than their usage, we find the routine workloads underneath it and build the specialist that owns each one.
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