Transparent Investment
Flexible Pricing Tailored To Your Growth Stage
We don’t believe in one-size-fits-all. Whether you need a quick workflow automation or a bespoke enterprise LLM, our pricing scales logically with the value we deliver.
Starter
For small businesses taking their first steps into AI integration.
Starts at $1.5k
/mo
- Basic workflow automation
- Pre-trained customer support chatbot
- Standard API integrations (Zapier/Make)
- Email support (48h response)
Most Popular
Growth
For scaling companies needing custom data intelligence.
Starts at $4k
/mo
- Advanced multi-step automations
- LLM Agents trained on your specific data
- Predictive analytics & forecasting dashboards
- Priority support & dedicated Slack channel
Enterprise
Bespoke AI architecture, security, and dedicated engineering pods.
Custom Quote
- Proprietary AI system development
- On-premise or private cloud deployment
- Legacy enterprise software integration
- 24/7 support & SLA guarantees
Compare Plan Features
Features
Starter
Growth
Enterprise
Custom Data Training
–
Predictive Analytics Dashboards
–
Proprietary AI Architecture
–
–
Support Level
Email
Priority + Slack
24/7 Dedicated Pod
A La Carte Add-ons
Enhance any plan with our specialized extended services.
Custom Integrations
Connecting legacy or niche enterprise software to your new AI infrastructure.
Ongoing Maintenance
Continuous prompt engineering, model fine-tuning, and performance optimization.
Dedicated Support
Retain an AI engineer on call for immediate troubleshooting and strategy pivoting.
Frequently Asked Questions
Clear answers to help you make strategic decisions.
How much does a custom AI system typically cost?
Because "Custom AI" can range from an internal knowledge-base chatbot to a massive predictive logistics engine, costs vary widely. Most custom projects fall between $10k to $50k+. However, we focus heavily on the payback period—most of our deployments yield a complete return on investment within 4 to 6 months through cost savings or revenue generation.
What is the typical timeline for deployment?
Starter packages and simple workflow automations can often be deployed within 1 to 2 weeks. Growth and custom Enterprise systems require deep data audits, model training, and rigorous QA testing, usually taking anywhere from 4 to 8 weeks from kickoff to final launch.
How do you measure ROI?
We establish baseline metrics before writing a single line of code. We track specific KPIs such as manual hours saved per week, support ticket deflection rates, lead conversion uplift, and operational cost reductions. You will always know exactly how much value the AI is driving.
Need a Custom Quote?
Not sure which tier fits your business model? Let’s get on a call, audit your current workflows, and build a pricing strategy that guarantees positive ROI.