Why Ex.Brain Outperforms

GPT Enterprise, Sana, and Glean

Ex.Brain is the only solution built for complete knowledge continuity, your people, your memory, your business value.

Summary Table, Feature & Pricing Comparison

Feature / Metric

Core Value

Preserve & transfer undocumented know-how into a durable business brain

Provide secure, enterprise-wide access to ChatGPT for productivity

Aggregate company knowledge and deliver AI-driven learning & training

Index company apps and files for semantic search

Primary Focus

Continuity & valuation in succession, M&A, and scale

General AI productivity across workflows

Employee enablement & onboarding

Employee enablement & onboarding

Pricing & Flexibility

$25/user/month

5-user min, month-to-month

$60/user/month

150 users required

~$9K/month, ~$108K/year

$36/user/month​

Starts at 300 users

$130K/year

$50/user/month​

Enterprise only; typical contracts

$30K–50K+/year

Cost for 100 Employees

$2,500 / month

($30K/year)

Not available

Minimum 150 users

Not available

Minimum 300 users

Approx.

$5,000+ / month
(~$60K+/year, enterprise deals)

Knowledge Source

Captures directly from owners, leaders, and employees (voice, meetings, tacit knowledge)

Uses existing user queries & docs

Pulls from apps/files for training

Indexes files, apps, and messages

Knowledge Architecture

Knowledge graph

role/location-linked, queryable, structured beyond LLM sessions

LLM-centric

chat sessions, embeddings, no persistent structure

Static KB + LLM layer

not graph-based

No semantic graph

Search index + embeddings

Core Enterprise Memory

Yes

Core ExBrain unifies knowledge by role, brand, location, and persists beyond turnover

No

Session/workspace based

No

Knowledge base but not persistent “memory”

No

Search index only

Role/Personal “Brain” per user

Yes

Each employee + manager gets an ExBrain, tied to role

No

General AI assistant concept

No

Learning platform model

No

Assistant/Search model

Reassignment on exit

Yes

Simply reassign ExBrain to next hire; knowledge preserved

No

No

No

Real-time Chat & Voice

Yes

Chat and voice interface to ask and receive accurate answers

Yes

Supports chat/voice, but not structured knowledge

Yes

Chat assistant inside platform

Yes

Assistant across tools

Computer Vision
(See & Speak)

Yes

Multimodal (text, image, audio, video)

Yes

Multimodal (text, image, audio)

No

No

Meeting →
Structured Knowledge

Yes

Built-in, captures meetings and speech turn it into structured knowledge

Manual

Integration required

No

No

Meeting Organizer

Built-In

Integration required

Integration required

Dependent on connectors

Speech to Knowledge

Built-In

Limited

No

No

Agents / Automation

Yes

Automates SOPs, CRM updates, compliance tasks

Yes

Via GPT workflows/tools

Yes

Learning task automation

Yes

Agent workflows across tools

Search & Answer Accuracy

Excellent

Answers grounded in captured institutional knowledge

High

Via model but may hallucinate

Good

Learning task automation

Excellent

Enterprise search

AI Enabler (Human Expert Hours)

Yes

included per tier (Lite 2h, Plus 4h, Core 8h, Pro 16h)

No

No

No

Architecture & Security

Enterprise-grade

GCP, encryption, RBAC, single tenant
Doesn’t train on business data by default

Enterprise tools

(SSO, RBAC); OpenAI doesn’t train on business data by default

Enterprise features

W/ SSO, APIs on Enterprise plan

Enterprise-grade

Connectors & controls

Business Impact

Creates a new transferable enterprise asset — the company’s operational brain — systemizing foundations and making the business scale-ready.

Boosts productivity via AI assistants

Speeds training & onboarding

Saves time finding info

Competitive Edge

Continuity & valuation + knowledge graph + human AI enabler support — only platform purpose-built for succession, M&A, scale, and operational transfer

Breadth of GPT-powered assistants, but lacks persistence/continuity

Strong for onboarding/training, but not continuity

Excellent retrieval, but assumes knowledge already exists

Best Fit For

Companies that need knowledge continuity, faster onboarding, exit readiness, and scalability

Broad AI assistant needs with deep model capabilities

Organizations focused on learning & knowledge delivery

Teams seeking AI-enhanced workplace search