Flexible Architecture & Pricing Models
Deploy AI agents where your data lives. From zero-cloud air-gapped local runtimes to custom self-hosted AWS cloud automation.
Developer Edge
Ideal for individual engineers and privacy-sensitive local workstation automation.
- Zero-cloud air-gapped Ollama execution
- sqlite-vec local C-based vector search
- Desktop OS file & task automation hooks
- Local model GGUF 4-bit quantization
- Complete data privacy & zero external telemetry
- Community & open engineering docs
Cloud Agent Scale
For growing technical teams building automated AWS infrastructure and agentic workflows.
- LangGraph cyclic state machine orchestrator
- Amazon Bedrock Agents & Boto3 Action Groups
- AWS EventBridge CloudWatch auto-remediation
- AWS Glue PySpark & OpenSearch hybrid RAG
- AWS Cost Explorer FinOps spot rightsizing
- SOC2 audit gates & PII masking filters
Enterprise Architecture
Complete custom engineering, dedicated cloud clusters, and 24/7 technical architect support.
- Dedicated AWS VPC or air-gapped on-prem rollout
- Fine-tuned Whisper v3 TensorRT-LLM cluster
- Custom SAP / ERP & legacy REST tool bindings
- 99.99% operational uptime SLA
- Dedicated AI Solutions Architect
- Custom security & compliance evaluation
Compare Deployment Boundaries
Choose the exact infrastructure boundary that matches your compliance and security requirements.
Local Air-Gapped
Self-Hosted AWS VPC
Managed Enterprise Hybrid
Frequently Asked Pricing & Architecture Questions
Do you charge per-token or mark up AWS infrastructure costs?
No. AIConnect architecture is deployed directly into your own AWS accounts or local workstations. You pay standard AWS resource costs directly to AWS with zero hidden token markup fees.
Can AIConnect agents run completely offline without internet access?
Yes. Our Local AI Agents domain utilizes Ollama and sqlite-vec to execute model inference and vector retrieval entirely air-gapped on workstation hardware.
How do you ensure AI agents do not make unvetted infrastructure changes?
Every cloud automation patch generated by an agent requires passing Open Policy Agent (OPA) validation and Human-in-the-Loop (HITL) PR approval before applying to production.
What is the implementation timeline for a custom enterprise AI agent system?
Initial proof-of-concept architectures are typically deployed in 1–2 weeks, with complete enterprise integration and production hardening completed in 4–6 weeks.
Ready to Upgrade Your AI & Infrastructure Automation?
Schedule a 30-minute technical architecture consultation with our staff AI engineers.