Enterprise Grade AI Architecture
The Ultimate AI Agent Cost Calculator
1
Speed to Market
Launch custom AI agents in 4-8 weeks, not 6-12 months. We use pre-built enterprise frameworks to accelerate development.
2
Enterprise Security
SOC2 and HIPAA compliant data pipelines via secure RAG architecture. Your data never trains public LLM models.
3
Cost Reduction
Reduce departmental operational costs by up to 70% instantly by automating repetitive, data-heavy workflows.
Understanding CapEx vs OpEx Pricing
Custom AI chatbot costs are split into two categories. We ensure total transparency before a single line of code is written.
✦ CapEx (Setup): Engineering, Integrations, RAG pipelines.
✦ OpEx (Monthly): LLM Tokens, Server Hosting, Ongoing SLA.
One-Time Build Fee
Flat Monthly Retainer
Industry: Medical
Healthcare AI Pricing & Features
Medical AI requires rigorous compliance. We build HIPAA-compliant agents that integrate directly with EMR systems (Epic, Cerner).
🏥 Patient Triage Automation: Pre-screen symptoms securely.
📅 EMR Appointment Scheduling: Direct database writes.
🔒 HIPAA Encrypted Vector Databases: Absolute data privacy.
Real Estate & Property Management AI
24/7 Autonomous Inside Sales Agents (ISA) connected directly to your MLS data feed.
Est. Cost: $8,000 - $15,000
Industry: PropTech
Real Estate AI ROI Highlights
Pre-qualify leads, answer complex tax/zoning questions autonomously, and sync physical property viewings directly to agent calendars via FollowUp Boss or GoHighLevel API integrations.
Industry: Finance
Finance & Banking AI Solutions
Zero hallucination tolerance. We build deterministic guardrails around Generative AI for the fintech sector, ensuring perfect mathematical accuracy and PCI compliance.
Fintech & Wealth Management AI
Automated loan underwriting, real-time fraud alerts, and predictive customer account support.
Est. Cost: $20,000 - $50,000+
What is the cost of RAG Infrastructure?
Retrieval-Augmented Generation (RAG) is how we teach the AI your private, proprietary business data.
Pricing scales directly based on Document Volume. Converting 1,000 PDFs into embeddings is relatively cheap; structuring 500k legacy SQL entries requires deep data engineering and pipeline structuring.
Tier 1 (Up to 5k Docs)
Included in Base
Tier 2 (5k - 50k Docs)
+$3k to $8k
Tier 3 (Enterprise Data Lakes)
Custom Scoping
Powered by Industry Leading LLMs
We are model agnostic. We select the best technology stack for your specific budget, speed, and privacy requirements.
Highest logic & reasoning
Massive context windows
Open-source data privacy
Enterprise vector databases
Common MVP Development Mistakes (And How We Avoid Them)
Avoid costly MVP mistakes like building too many features, skipping user validation, or choosing the wrong tech stack. We ensure your product is lean, focused, and ready for real-world feedback.
Text-Based Agents
Faster deployment. Cheaper monthly token usage. Integrates seamlessly into websites, SMS, and Slack.
Voice AI Agents
Requires complex Speech-to-Text and Text-to-Speech logic (Vapi/Twilio). Higher setup cost, billed per minute (~$0.12/min).
Estimation Method Comparison
Factor
Annual Cost
Time to Deploy
Expertise
Risk Profile
Hiring In-House Team
$350,000+ (Salaries & Benefits)
6 to 12 Months
Learning on your dime
High employee churn risk
Our Deliverables Agency
Starting at $15,000 Setup
4 to 8 Weeks
Pre-built Enterprise Frameworks
Guaranteed Service Level Agreement
Instead of one single chatbot, we deploy a network of specialized agents. A 'Researcher Agent' gathers data and passes it to a 'Writer Agent', which is then rigorously fact-checked by a 'QA Agent'.
Advanced Multi-Agent Swarms
The absolute ultimate in enterprise AI solutions. These swarms automate entire departments. Due to framework complexity (using CrewAI/AutoGen), swarm setups typically begin at $25,000+.
Salesforce
HubSpot
Stripe
SAP / ERP
Zendesk
Slack
Powered by Industry Leading LLMs
We are model agnostic. We select the best technology stack for your specific budget, speed, and privacy requirements.
Mapping your data silos.
Selecting models & RAG.
Coding and API integrations.
Red-teaming and deployment.
Client Success Stories
Will the AI hallucinate or give wrong answers?
No. By utilizing strict RAG (Retrieval-Augmented Generation) constraints, we physically prevent the AI from answering questions outside of your provided documentation.
Who owns the AI code and data?
Do you offer ongoing support?
