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Custom AI Development

Custom AI Development That Solves Real Problems

We build AI systems around your specific workflows - multi-model orchestration, integrated data pipelines, and production-grade agents designed for your data and your goals.

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The Problem

Generic AI platforms force you into rigid templates. Your content pipeline needs research from multiple sources, but the tool only supports one. Your quality review needs nuanced judgment, but the model just runs a checklist. You end up duct-taping three or four tools together, losing context between each handoff, and spending more time managing the toolchain than doing the actual work.

Our Solution

We architect custom AI systems where every component is purpose-built for your workflow. That means selecting the right model for each task - like using Claude Sonnet for fast content generation and Opus for deep quality review - then wiring in the exact data sources you need (DataForSEO for keyword intelligence, Tavily for real-time web research, Firecrawl for page extraction) and building the orchestration layer that ties it all together without manual handoffs.

How It Works

01

Workflow Mapping & Model Selection

We break down your process into discrete tasks and match each one to the right AI model, data source, and integration point - no guessing, no one-size-fits-all.

02

Data Pipeline Architecture

We design pipelines that pull from your specific data sources, isolate processing per task (like per-subtopic research for content workflows), and feed clean, structured data to each model.

03

Multi-Model Orchestration & Build

We build the orchestration layer that routes work to the right model at the right time - fast models for generation, powerful models for review - with error handling and fallbacks baked in.

04

Deployment, Dashboards & Iteration

We ship to production with monitoring, interactive visualizations for tracking outcomes (think D3.js dashboards, not static charts), and a feedback loop so the system improves over time.

See It In Action

TopicalRank - AI Content Production Platform

A full-stack AI platform built with per-subtopic research isolation, multi-model orchestration with Claude (Sonnet for generation, Opus for quality review), integrated data pipelines (DataForSEO, Tavily, Firecrawl), and gamified topic authority visualizations powered by D3.js.

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Frequently Asked Questions

What is custom AI development?+
Custom AI development means building AI systems from scratch around your specific business process - not configuring a SaaS tool and hoping it fits. This includes multi-model orchestration, custom data pipelines, AI agents, and purpose-built interfaces that work the way your team actually works.
How long does a custom AI project take?+
Most projects take 4 to 12 weeks from kickoff to production. A focused AI agent or single-pipeline tool can ship in 4 weeks. Larger platforms with multiple data integrations and model orchestration typically take 8 to 12 weeks.
What types of AI solutions do you build?+
We build multi-model orchestration systems, AI content pipelines, autonomous agents, data processing workflows, and custom dashboards with real-time visualizations. If it involves coordinating AI models with your data sources to produce a specific business outcome, we can scope and build it.
What does custom AI development cost?+
Projects typically start at $2,500/month, depending on scope and complexity. We scope every project individually after a free strategy call.

Ready to Get Started?

Let's discuss how we can build the right solution for your business.

Book a Strategy Call