Airia vs. CoreAI — Executive Battlecard & Feature Matrix

Last updated: September 10, 2025

Enterprise AI Orchestration Governance & DLP Observability BYO Keys (BYOK/BYOA) AI Gateway RAG & Connectors

Executive Summary

Strategic Opacity Analysis

Deliberate low profile: Minimal public footprint (few/no social channels, sparse site, no docs) makes evaluation slow and 1:1-sales–only.
Name collision camouflage: “CoreAI” is generic, buried by larger brands—hard to research independently.
8200 pedigree & boutique model: Small elite team (1–10) with defense/academia roots; sells bespoke projects, not a product.
Risk for enterprises: Opaque leadership, limited references, and services-only delivery raise continuity & support concerns.

Positioning move: Contrast their “black box” approach with Airia’s transparency: open docs, live demos, platform roadmap, and community.

Executive Summary

Leadership Discovery

Public names scarce: Site lists roles (e.g., “Technion lecturer, AI researcher”) without naming leaders.
Likely CEO: Research points to Eitan Netzer (AI researcher; Technion lecturer) as founder/CEO; Unit 8200 background commonly cited.
Implication: Lack of named leadership and public-facing bios is atypical and increases due-diligence burden.

Takeaway: Lead with Airia’s transparent leadership, references, and customer evidence.

Positioning

Airia

Enterprise AI orchestration & governance platform: visual agent studio (branch/loop/memory/HITL), AI Gateway (Universal Key) to retrofit governance on existing apps, rich feeds (executions, conversations, tokens, DLP/RA), SSO/OIDC + SCIM 2.0, data retention & regional storage, and multi-channel deployments (API, web chat widget, Catalog, scheduled jobs, email triggers, mobile app/SDK). AI Gateway Feeds SSO & SCIM

CoreAI

Boutique AI consultancy (Israel): bespoke projects, algorithmic optimization (e.g., “smart sampling”), and on-prem-first delivery for regulated clients. Positions a private MLOps toolkit (“CoreControl”) as part of services, not a public SaaS. No published no-code studio or developer docs. Website CoreControl

Fast Leads

When to lead with Airia

Enterprise SSO/SCIM, retention & regional controls, policy-driven DLP/Responsible-AI.
Complex agent orchestration (branching, loops, memory) with human-in-the-loop.
Deep observability (executions, conversations, token feeds) & cost governance.
Multi-channel deployment (API, web chat, Catalog, schedule, email, mobile).
Rapid “retrofit” via AI Gateway (swap base URL + key) with no code rewrites.

Where CoreAI fits

One-off bespoke ML/optimization projects where consultant velocity matters.
On-prem constraints with custom MLOps; small scope, high-control environments.

Executive Matrix

Platform Feature Comparison

Category	Airia (Enterprise Orchestration & Governance)	CoreAI (Boutique AI Consultancy)
Core use case	Operational AI agents (branch/loop/memory/HITL), governance, multi-channel deployment.	Bespoke AI/ML projects; algorithmic optimization; on-prem MLOps deliveries; no public product.
Tech stack	Model-agnostic with BYOK; REST API + SDKs; gateway overlay.	Custom stacks per engagement; mentions internal “CoreControl” MLOps; no public SDK/docs.
Build UX	Visual Agent Studio canvas, prompt library, versioning, low-code flow composition.	No published builder UI; consultant-built pipelines.
Data + RAG	Connectors to SaaS & databases; managed ingestion & indexing; scheduling; dense + sparse retrieval.	No public connectors/RAG docs; integrations done custom per project (Nothing Found).
Tools & Integrations	100+ enterprise connectors, custom tools, chaining & scheduling.	Project-specific integrations; no catalog published.
Security & Governance	DLP (100+ detectors), Responsible-AI filters, attack prevention, policy enforcement & violation feeds.	No published guardrails/policy tooling; case-by-case security in client env (Nothing Found).
Observability	Feeds for executions, conversations, tokens, and violations; filters, export, alerts.	No conversation-level logging UI published; consulting deliverables vary (Nothing Found).
Access & Identity	SSO (OIDC) + SCIM 2.0 provisioning; RBAC.	No SSO/SCIM documentation published.
Data residency & privacy	Region selection, retention settings, BYOK, external provider controls.	Deploys into client’s env for residency by default; no platform-level controls (Nothing Found).
Deployment	API, Web Chat Widget, Catalog, Scheduled Jobs, Email triggers, iOS app/SDK.	Custom deploys (on-prem or client cloud); no multichannel product.
Mobile	Airia Chat iOS app + Swift SDK; Android via REST.	No mobile app/SDK.
Model training & hosting	Model-agnostic control plane. Integrate your tuned/hosted models via Custom Tools, add governance & observability at inference; run Airia in SaaS, VPC, or on-prem. Integrations AI Gateway Feeds Build & Deploy	Consulting-led ML builds. Custom training/hosting delivered as services; limited public info on standardized governance or observability (evaluate case-by-case).
LLM policy & tokens	Per-agent/model governance; token tracking/limits; BYOK cost tracking.	No published cost/usage dashboards; ad-hoc reporting.
Notable Campaigns / Notes	Agent-to-Agent protocol; Microsoft AppSource; compliance focus.	Claims “20× faster training” & “100+ models delivered”; limited public references.
YouTube / Community	Docs, videos, webinars, community engagement.	No social/video/community presence; private whitepaper only.
Multi-provider	Multiple models/providers inside one agent; one agent endpoint.	Consultant-implemented routing if needed; no documented feature.
Rapid Retrofit	AI Gateway: change base URL + key to overlay governance & logging.	N/A (services-first; not an overlay gateway).

Vision

Agent-Powered Experience Interfaces

Example user-experience dashboard showing agent state, outputs, and recommendations

This screenshot comes from CoreAI’s custom solution dashboard—exactly the kind of interface they’ve built for clients to monitor experiments, model serving, versioning, and drift in one unified view. It’s a perfect example of what we’ve been talking about: a user-experience dashboard that puts an agent’s current state, recent actions, and next recommendations front and center. Different skins per team—sales sees live deal risk and next-best steps; support picks up queue triage and CSAT insights; legal gets flagged clauses with confidence levels; retail watches inventory shifts and pricing alerts. The whole idea is to make the agent feel visible, interactive, and trustworthy—not like a black box.

We can build this on Airia now. Use our Tools/Connectors to pull live data and trigger actions, wire Memory so the panel keeps context across interactions, and stream activity straight from Feeds (executions, conversations, tokens, violations). Then layer simple interface logic: embed the chat widget, hit the agent via API to fill tiles, and schedule background runs for summaries—while governance/DLP keeps everything auditable. Net result: an Agent-Powered Experience that feels like a native app for each function, all powered by the same agent definition and deployed through channels we already support.

Top Differentiators

Why Airia Wins vs. CoreAI

Transparency & Trust. Open docs, demos, and roadmap vs. opaque boutique services. This shortens evaluation and reduces risk.
Governance & Safety. First-class DLP/RA feeds and policy enforcement; CoreAI has no public governance toolkit.
Observability depth. Execution + conversation logs and token analytics; CoreAI projects lack standardized telemetry.
Scalability. Platform scales across teams and use cases; CoreAI’s consulting output scales linearly with headcount.
Speed & TCO. No-code shipping in weeks; predictable subscription vs. ongoing consulting fees for every change.
Rapid retrofit. Airia’s AI Gateway adds guardrails/visibility to existing apps with a base-URL swap; CoreAI has no equivalent.

Trap-Setting Discovery

Landmines & Questions

Continuity & ownership. “After initial delivery, who will maintain and evolve the solution, and how quickly?”
Documentation & training. “What self-serve docs and admin guides will your teams get on day one?”
Governance & auditability. “How will you prove DLP/RA controls to auditors without standardized feeds and exports?”
Scalability. “Can multiple departments adopt this concurrently, or is progress gated by a consultant backlog?”
Time-to-value. “What can we deploy next month without waiting for custom development?”

Perspective

Where CoreAI Shines

Deep algorithmic optimization (e.g., data sampling, classic ML) for bespoke problems.
On-prem-first consulting in regulated or high-control environments.
Short, surgical projects where a small elite team can move quickly without platform lift.

Perspective

Where Airia Clearly Leads

Enterprise-grade governance: DLP/RA policy engine with violation feeds and exports.
Conversation-level observability across executions, tokens, and security events.
SSO (OIDC) + SCIM 2.0, retention & regional controls, RBAC.
Multi-channel deployment out-of-the-box and an AI Gateway overlay to harden existing apps fast.

Sales Enablement

Recommended Talk Tracks (with Proof Points)

Platform vs. Projects. “If you train/host models, Airia becomes your control plane—policy, audit, routing, and interfaces across endpoints—so you’re not locked to a 10-person consulting team for every change.” → AI Gateway Feeds Integrations Build & Deploy
RAG before retrain. “Most ‘we must train’ requests are really ‘we need our data.’ Airia provides connectors, OCR, hybrid indexing, and scheduled syncs—it’s usually faster and safer than bespoke training sprints.” → Integrations Build & Deploy
Governance you can prove. “No matter where models live, Airia gives DLP/RA feeds and exports for audit. That proof is hard to deliver with ad-hoc consulting code.” → Violation & Token Feeds
Retrofit what you already have. “Keep your current provider or internal server. With AI Gateway (OpenAI/Anthropic/Ollama) and Custom Tools for anything else, you get logs, budgets, and policies—zero app rewrite.” → AI Gateway Custom Tools & APIs
Self-Serve vs. Dependency. “Empower your teams with a platform; don’t depend on a tiny shop for every change.” → Studio & Templates
Governance Overlay. “Add observability and policy enforcement to existing calls.” → AI Gateway (Base-URL Swap)
Operational Observability. “See executions, prompts, tokens, timings; export for audit/chargeback.” → Executions, Conversations & Token Feeds
Rapid Orchestration. “Branching, loops, memory, HITL in a canvas; publish to multiple interfaces.” → Build & Deploy
Identity & Lifecycle. “Full IdP integration with SCIM & RBAC.” → SSO / SCIM

Opportunity

Actionable Opportunities for Airia

Compliance-first pilots: Wrap any ad-hoc CoreAI/OpenAI usage with AI Gateway to deliver immediate DLP/observability.
Self-serve expansion: Replace bespoke scripts with Airia agents and connectors to scale beyond the initial team.
Hybrid strategy: Keep consultants for niche algos, standardize production on Airia for governance and scale.
Regulated verticals: Lead with region & retention controls and audit-ready feeds.

Live Demo

Fast Demo Flow (8–10 minutes)

Filters: Ingest a prompt containing PII/toxicity; show DLP redaction and a Responsible-AI/Security block in real time.
Feeds: Open Token Consumption and Conversations; filter & export a CSV.
Agent Studio: Build a mini flow (router + parallel + loop + memory + human approval) and publish.
Interfaces: Toggle Web Chat Widget; call the agent via API; mention Schedules and Email Inbox.
Admin: Show SSO/SCIM, data retention window, and data residency region selection.
AI Gateway: Swap an existing OpenAI call to Airia; show immediate logs with DLP/RA enforcement.

Pilot Plan

POC Outline (2–3 weeks)

Week 1 – Foundations & Guardrails: Connect 2 systems; ingest data for RAG; configure DLP/RA and usage limits.
Week 2 – Orchestration & Delivery: Build an agent with routing/parallel + loop + memory + HITL; deploy via API & Web Widget.
Week 3 – Enterprise & Retrofit: Wrap an existing service with the AI Gateway; enable SSO/SCIM; set residency/retention; baseline cost/quality.
Success Metrics: Time-to-resolution ↓, approval precision ↑, token $/case ↓, zero PII egress/policy breaches, demonstrable auditability.

Objection Handling

Cheat Sheet

What you’ll hear	How to respond
“We prefer consultants to build this for us.”	Empower, don’t depend. Airia lets your teams build and evolve safely, with support and roadmap—no vendor lock-in to a tiny shop for every change.
“We need on-prem and security controls.”	Airia supports on-prem/private cloud and adds policy/DLP, SSO/SCIM, and full audit feeds—controls a bespoke project won’t standardize.
“Custom code will be faster for our niche use case.”	Prototype fast, operate safely. Airia covers 80–90% out-of-the-box; keep niche code as a tool inside the platform, gaining governance/observability.
“Consulting looks cheaper upfront.”	TCO over time. Airia’s subscription avoids ongoing SOWs; updates, guardrails, and connectors are included—lowering lifetime cost and risk.

Community & Content

CoreAI – Public Presence & Content

Social & Video: No active social media or YouTube presence identified.
Docs & Tutorials: No public developer docs, guides, or APIs; evaluation requires 1:1 meetings.
References: A handful of testimonials; few public case studies; leadership bios not listed.

Why Airia’s Openness Wins

Public docs, demos, and how-tos accelerate buyer confidence and internal approvals.
Community & webinars reduce support burden and upskill customers.
Transparent roadmap and releases signal product maturity and stability.