Custom Development
Some problems don’t fit inside a product.
Spark is what we productized. This is what we build when the problem is yours alone. When the system needs to hold under real weight, when ‘close enough’ costs you more than starting from scratch, when you need AI that was designed for exactly one thing: your thing.
Custom agents. Custom pipelines. Production systems built from the ground up.
Start a conversationYou’ve probably already tried the off-the-shelf version.
Maybe it worked for a while. Maybe it never quite did what the demo promised. Most AI tools are built to solve the average version of a problem. Yours isn’t average.
That’s not a sales pitch. That’s just what’s true for any business where the details actually matter.
The gap between ‘this mostly works’ and ‘this actually works’ is where most AI projects die. Not because the technology failed, but because nobody took the time to understand the problem before picking the tools.
We take the time.
Four ways in. One philosophy underneath.
Custom AI Agents
Not a general-purpose model with a system prompt bolted on. We build agents that understand why they exist, what they’re supposed to protect, and when to stop talking. The same orientation methodology behind Spark, applied to your domain, your data, your language.
A knowledge agent for a legal team that understands case context, speaks in the firm’s voice, and knows when a question needs a human.
Multi-Agent Pipelines
Orchestration layers that route between models based on task type, cost, and quality. Not every question needs your most expensive model. Not every response needs to be a paragraph. We build the logic that decides, so you don’t burn budget on overkill.
A support pipeline that uses a lightweight model for FAQ, a reasoning model for troubleshooting, and escalates to human when confidence drops below threshold.
AI-Augmented Tools
Interfaces that make your team faster without replacing their judgment. We don’t believe in ‘fully automated’ for work that matters. We believe in tools that handle the repetitive parts so your people can do the parts that require them.
A proposal generator that drafts from templates and past work, then hands it to your team for the last 20% that makes it personal.
Infrastructure & Integration
The plumbing that connects AI to the systems you already use. CRM, scheduling, inventory, communication platforms. We build the connective tissue so the AI isn’t floating in its own universe.
An agent that pulls client history from your CRM, checks availability in your calendar, and sends a follow-up through your email platform. One conversation, three systems, zero manual entry.
Philosophy first. Then architecture. Then build.
Most AI shops start with the model and work backward to the problem. We do the opposite.
Understand
We start by listening. What does your business actually need this system to do? Not what the technology can do. Not what’s trendy. What does your specific operation require, and what happens when it goes wrong? We map the problem space before we touch a single tool.
Design
We architect the system around your constraints, not ours. Model selection, data architecture, integration points, failure modes, cost modeling. You see the blueprint before we write a line of code. No surprises six weeks in.
Build
Small team. Tight iterations. You’re involved throughout, not handed a finished product you didn’t shape. We build in working increments so you can see progress, test assumptions, and change direction without burning the timeline.
Harden
Production means production. Load testing, edge case handling, monitoring, documentation. We don’t hand you a prototype and call it done. The system needs to hold when you’re not watching it.
This is for the people who’ve learned that ‘plug and play’ usually means ‘plug and pray.’
The Operator
You run a business where quality is the product. You’ve tried chatbots, automations, integrations that half-work. You’re not against AI. You’re against AI that embarrasses you. You want something built to your standard, not the vendor’s default.
The Technical Leader
You have a dev team but not an AI team. You know what you need built but you don’t have the specialized knowledge to build it right the first time. You’d rather hire expertise for 8 weeks than spend 6 months learning through expensive mistakes.
The Growing Company
You’re scaling and the manual processes that got you here won’t get you there. You need systems that handle volume without losing the quality that earned your reputation. Automation, yes. But not at the cost of what makes you, you.
Real numbers. Before the call.
We don’t hide pricing behind a ‘contact us’ form. Here’s the honest range:
Typical engagements run 4 to 12 weeks.
| Scope | Timeline | Range |
|---|---|---|
| Focused(single agent or integration) | 4–6 weeks | $15,000 – $30,000 |
| Standard(multi-component system) | 6–10 weeks | $30,000 – $55,000 |
| Complex(full pipeline + infrastructure) | 8–12 weeks | $55,000 – $85,000+ |
What’s included in every engagement:
- Architecture documentation you actually own
- Source code and deployment assets
- 30 days of production support after launch
- Knowledge transfer to your team
What’s not included (but available):
- Ongoing managed support (monthly retainer, scoped separately)
- Model hosting and API costs (pass-through, no markup)
- Training and onboarding for your team (quoted per session)
Questions we hear before every project.
Start with the problem. We’ll figure out the rest together.
Tell us what you’re trying to build. No pitch deck required. No minimum budget conversation. Just the problem and enough context for us to tell you honestly whether we’re the right team for it.
Book a CallOr email us directly at hello@kinetiq.ai