Question 1

How does ResTech AI's platform architecture differ from other AI solutions?

Accepted Answer

Unlike point solutions, ResTech AI delivers an integrated 4-pillar lifecycle platform (Build-Know-Act-Secure). Our platform combines low-code development (ezGPT™), knowledge management (kSphere™), autonomous agents (CAATs™), and zero-CVE* security (zContainer™) in one cohesive system, eliminating fragmentation and reducing total cost of ownership.

Question 2

What makes zContainer™'s Zero-CVE* claim unique?

Accepted Answer

zContainer™ is proprietary containerization technology with the smallest Docker images in the industry and zero* known CVE vulnerabilities. Traditional containers have hundreds of CVEs and large attack surfaces. Our minimal-footprint architecture strips unnecessary components, resulting in upto 40% faster deployments, reduced patching overhead, and accelerated ATO processes for sensitive networks.

Question 3

How does the Knowledge Fabric go beyond traditional RAG?

Accepted Answer

kSphere™ creates a multi-dimensional knowledge fabric using vector, graph, and semantic ontologies. Unlike basic RAG that just embeds and retrieves, kSphere™ provides citation-backed answers, contradiction detection, obsolescence flagging, entity resolution, mind map generation, "5W+H" detection, and confidence scoring. This solves the 'hallucination problem' and provides audit-ready AI answers grounded in your truth.

Question 4

What deployment options does ResTech AI support?

Accepted Answer

We support cloud-native (AWS, Azure, GCP), on-premises, hybrid, and air-gapped/disconnected environments including SCIF and tactical edge. The same platform deploys everywhere with consistent security and governance, giving you true deployment flexibility without vendor lock-in or architectural compromises.

Question 5

What is the Model Context Protocol (MCP) and why does it matter?

Accepted Answer

MCP is an open standard for agents to access and share contextual information. It enables CAATs™ to seamlessly pull knowledge from kSphere™ and other sources without proprietary APIs. MCP ensures interoperability, prevents vendor lock-in, and allows agents to collaborate across the platform using a standardized context-sharing mechanism.

Question 6

How do Agent-to-Agent (A2A) protocols enable collaboration?

Accepted Answer

A2A is a secure communication protocol that enables multiple autonomous agents to work together on complex tasks. In ResTech AI, CAATs™ use A2A to divide work, share findings, and collaboratively solve problems. For example, one agent researches while another validates facts, and a third compiles the final report—all coordinated via A2A messaging.

Question 7

What is the 12-factor agent methodology?

Accepted Answer

The 12-factor agent methodology is our framework for building production-grade autonomous agents based on 12-factor agent principles: Own Your Context Window, Stateless Reducer, Trigger from Anywhere, Launch/Pause/Resume Agent, Own Your Control Flow, and Compact Errors, etc. This ensures CAATs™ are resilient, reproducible, and enterprise-ready rather than brittle research prototypes.

Question 8

How does resGPT™ integrate into the broader platform architecture?

Accepted Answer

resGPT™ sits as a GenAI firewall between all AI interactions and the models. It inspects context, prompts, and responses for every flowGPT™ workflow, kSphere™ query, and CAATs™ action. This lifecycle-aware integration ensures policy enforcement, PII redaction, and audit logging happen automatically across the entire platform without manual configuration.

Question 9

What is zero-trust architecture for AI systems?

Accepted Answer

Zero-trust for AI means never trusting any request by default. resGPT™ verifies every API call with identity authentication, policy authorization, and continuous monitoring. Network micro-segmentation isolates components, least-privilege access limits permissions, and immutable audit logs track all actions. This helps prevent insider threats, data exfiltration, and unauthorized AI usage.

Question 10

Can I integrate ResTech AI with my existing enterprise systems?

Accepted Answer

Yes. We provide open standard-based connectors for SharePoint, S3, Snowflake, Databricks, Active Directory, Okta, Salesforce, ServiceNow, SAP, and more. Our OpenAPI-compliant REST APIs enable custom integrations with any system. The platform follows open standards (MCP, A2A, OpenAPI) to ensure maximum ecosystem interoperability without proprietary lock-in.

Feature	ResTech AI	Others
Security Foundation	Zero-CVE* zContainer™ with minimal attack surface	Generic containers with known vulnerabilities
Knowledge Management	Multi-dimensional Knowledge Fabric with citations	Basic vector RAG with no citation tracking
Integration Approach	Open standards (MCP, A2A, OpenAPI)	Proprietary APIs and vendor lock-in
Agent Governance	Configurable autonomy with HITL controls	Black-box automation or no governance
Deployment Model	Cloud, on-prem, air-gapped, hybrid	Cloud-only or limited deployment options

Built to Last. Engineered to Lead.

The Platform Architecture

Proprietary Technical Innovations

zContainer™ Zero-CVE* Runtime

kSphere™ Knowledge Fabric

resGPT™ GenAI Firewall

CAATs™ Autonomy Framework

Built on Open Standards

MCP (Model Context Protocol)

A2A (Agent-to-Agent)

OpenAPI / REST

12-Factor Agent Methodology

Why Our Technology Wins

Enterprise Integration Ready

Data Sources

Identity & Access

Enterprise Apps

DevOps & Monitoring

Built for Enterprise Scale

Deploy Anywhere

Cloud-Native

On-Premises

Hybrid

Edge/Disconnected

Security by Design, Not Afterthought

Zero Trust Architecture

Data Sovereignty

Audit & Compliance

Frequently Asked Questions