Full-Stack AI & Software Engineering

Full-Stack AI & Software Engineering,
Built for Growth.

Agilotek is the engineering partner for teams that need AI automation, custom model training, and production-grade software — under one senior team.

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Web DevelopmentAI AutomationModel Training

Core Competencies

Tailored Engineering Solutions

Eight disciplines, one senior team — from AI automation to the infrastructure that keeps it running.

AI Automation

We integrate large language models, autonomous agents, and workflow engines directly into your operations so repetitive work runs without a human in the loop.

LLM & Chatbot Integrations
Workflow Automation
Autonomous Agents

92%faster first-response time

AI Model Training

We fine-tune foundation models on your proprietary data and build bespoke machine learning models when an off-the-shelf model isn't precise enough.

LLM Fine-Tuning
Custom ML Models
Evaluation & Benchmarking

33%fewer forecasting errors

Web Development

We build fast, accessible, conversion-focused web platforms on modern frameworks — engineered for strong Core Web Vitals and built to scale with your traffic.

Marketing & Product Sites
SaaS Application Development
Internal Tools & Dashboards

76%faster page load times

Mobile Development

We build native iOS and Android apps when performance demands it, and cross-platform apps with React Native or Flutter when speed-to-market matters most.

Native iOS Development
Native Android Development
Cross-Platform Development

4.3xfaster release cycles

Software Development

We design and build custom software architectures — web backends, Windows applications, and native Mac apps — engineered for strict type safety and reliability.

Enterprise Backend Systems
Windows Desktop Applications
macOS Desktop Applications

0hours of downtime on migration

Cloud & DevOps

We design cloud architecture and CI/CD pipelines so deployments stop being a weekly fire drill and scaling stops being a rewrite.

Cloud Architecture
CI/CD Pipelines
Infrastructure as Code

44%less unplanned downtime

Digital Growth

We treat growth as an engineering problem: technical SEO, analytics instrumentation, and conversion experiments shipped like product features.

Technical SEO
Analytics Instrumentation
Conversion Rate Optimization

2.4xlift in organic conversion

Cybersecurity & Compliance

We build security and compliance in from the architecture stage, rather than bolting it on before an audit deadline.

Application Security Review
SOC 2 Readiness
GDPR & Data Privacy

100%of actions logged for audit

Our AI Practice

AI Automation & Custom Model Training

Two disciplines that usually ship together: automating the work your team repeats, and training models where general-purpose ones fall short. We start by checking whether AI is even the right tool.

01 / AI automation

Automate the work people repeat

We replace manual, repetitive work with systems that read, decide, and act — and we put plain, deterministic code around every model call so the result is predictable, logged, and easy to debug.

How a workflow runs

Trigger
Extract
Decide
Act
Review

Explore AI automation

Document & inbox triage. Emails, tickets, invoices, and forms are classified, extracted, and routed, with a human approval step where a mistake would be costly.
Agents with real tool access. Assistants that call your CRM, ERP, helpdesk, and internal APIs through scoped permissions and a full audit trail.
Retrieval over your own data. Search and Q&A across contracts, wikis, and records, with every answer citing the passage it came from.
Workflow engines, not prompt chains. Retries, timeouts, fallbacks, and escalation paths are explicit code, so a flaky model response never becomes a broken process.

02 / Custom model training

Train models for what off-the-shelf gets wrong

When a general model isn't accurate, fast, or cheap enough, we build one that is: audited data, a measurable target, and an evaluation suite that tells you whether each new version is actually better.

How a model ships

Audit data
Train
Evaluate
Deploy
Monitor

Explore model training

Data audit first. We profile, de-duplicate, and label your data before training, because data quality sets the ceiling on model quality.
Fine-tuning and distillation. Adapt a foundation model to your domain, or distill it into a smaller model that runs faster and costs far less per request.
Evaluation you can trust. Held-out test sets and regression suites compare every candidate against the last, so improvements are measured, not assumed.
Production deployment. Versioned releases, drift monitoring, and a rollback path that doesn't need an engineer awake at 2am.

How We Build

A Meticulous, Transparent Flow

We design, build, and deploy with architectural precision. No generic templates, no guesswork. Keep scrolling — this section pins and scrolls sideways through each stage.

Discovery & AI Mapping

We analyze your requirements, define technical boundaries, and map where automation and AI genuinely help.

Architecture & Design

We design system architecture and interfaces before writing production code.

Build & Integrate

We build in typed, tested increments and integrate with your existing stack.

Launch & Support

We ship, monitor, and stay on to tune the system against real usage.

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Selected Work

Proof, Not Promises

A sample of the systems we've shipped. Full case studies, including the ones we can't name yet, live on the Projects page.

View All Projects

Fintech

Cutting First-Response Time 92% with an Autonomous Support Agent

An autonomous AI agent that resolves tier-1 support tickets, escalates securely, and cut first-response time from 4 hours to under 20 minutes.

Claude APITypeScriptPostgresTemporal

92%reduction in first-response time

61%of tickets resolved without a human

100%of agent actions logged for audit

Logistics

Automating Dispatch Scheduling for a Regional Logistics Operator

A workflow automation and driver mobile app that replaced manual dispatch scheduling, cutting dispatcher workload by two-thirds.

React NativeNode.jsPostGISn8n

66%reduction in dispatcher workload

4.3xfaster re-routing after a driver cancellation

28%reduction in late deliveries

Retail

A Custom Forecasting Model That Cut Overstock by a Third

A custom-trained demand forecasting model built on three years of regional sales data, reducing overstock while holding stockout rates flat.

PythonPyTorchAirflowSnowflake

33%reduction in overstock inventory

0%increase in stockout rate

6 weeksfrom data audit to production model

Client Feedback

What Partners Say

Agilotek didn't just automate a workflow, they rebuilt how our support team thinks about triage. The agent they shipped handles the majority of our tickets without anyone noticing it's not a person.

Sarah WhitfieldVP of Operations, A fintech platform client

We'd been burned by agencies that over-promise on AI before. Agilotek was the first team that told us where automation wouldn't help before telling us where it would.

Marcus ChenCo-Founder & CTO, A logistics technology client

The rebuild they ran on our platform had zero downtime for our customers. I didn't think that was possible for a migration this size.

Priya AnandHead of Engineering, A B2B SaaS client

Our forecasting accuracy improved more in six weeks with Agilotek's custom model than it had in two years of tuning the off-the-shelf tool we were using before.

David OkaforDirector of Supply Chain, A retail chain client