ATOM AI

Building Enterprise AI
that Makes Sense

Deploy voice, search, and workflow agents in controlled environments—VPC, on‑prem, or edge—with governance and zero‑training guarantees.

Deploy Anywhere

RBAC + Audit Trails

Provider Flexibility

Deploy Anywhere

RBAC + Audit Trails

Provider Flexibility

COMPARE

Compare Enterprise AI Solutions

See how Atom stacks up on security, IP ownership, deployment, and real-time UX.

Select vendors to compare

Atom (Antimatter)

Kore.ai

Intercom Fin

Zendesk AI Agents

ServiceNow Now Assist

Microsoft Copilot Studio

Google Vertex AI Agent Builder

Amazon Q Business

IBM watsonx Assistant

Cognigy.AI

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Sierra

Atom (Antimatter)

Kore.ai

Intercom Fin

Zendesk AI Agents

ServiceNow Now Assist

Microsoft Copilot Studio

Google Vertex AI Agent Builder

Amazon Q Business

IBM watsonx Assistant

Cognigy.AI

Moveworks

Sierra

EnterpriseAIDeployment

Built for regulated teams that need isolation, auditability, and deployment control. Keep your data and IP in your environment—without provider lock‑in.

01

Security & Compliance

Deploy with strict isolation across VPC, hybrid, or on‑prem. Encrypt data in transit and at rest, with audit logs and private networking.

Security Controls

Encrypt at rest

Private network

SSO + RBAC

Audit logs

Zero training

02

IP Ownership

You own prompts, agents, workflows, and outputs. Atom does not train on your data or resell metadata. Set retention and export rules per environment.

Ownership Controls

Customer IP

Hard isolation

Export configs

Retention policy

No shared pools

03

Framework, Not a Tool

Build composable systems for voice, search, workflows, and decisions. Reuse modules across teams and evolve without rewrites. Add tools and data sources with policy.

Core Modules

Agents

Orchestration

Tool calls

Retrieval

Deterministic UI

04

Model-Agnostic Runtime

Swap model providers without changing your product logic. Run hosted, open-source, or private models to meet latency, cost, or compliance needs. Bring your own embeddings and vector stack.

Model Options

Hosted

Open source

Private

On‑prem/Edge

BYO embeddings

Edge Deployment

Edge AI, Lower Latency

Place inference and orchestration closer to users without moving sensitive data. Keep regional control and route workloads across edge, VPC, and on‑prem.

Lower round‑trip latency for voice and real‑time UX

Regional execution with data‑residency boundaries

Hybrid routing: edge inference + VPC/on‑prem orchestration

Atom AI Framework & Enterprise Deployments

A concise view of how Atom runs in production deployments.

01FRAMEWORK CORE

Compose agents, retrieval, tools, and deterministic UI into end‑to‑end systems. Reuse patterns across products and teams.

02DEPLOYMENT OPTIONS

Run in public cloud, private cloud, hybrid, on‑prem, or containers. Support Kubernetes and VPC isolation.

03PROVIDER ABSTRACTION

Switch model and embedding providers as requirements change. Optimize for cost, latency, and policy constraints.

04GOVERNANCE LAYER

Apply RBAC, audit logs, encryption, and retention policies per environment. Keep sensitive traffic on private networks.

05EDGE FOOTPRINT

Optionally deploy to Akamai / Linode regions for low latency and residency. Keep high‑availability routing near users.

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