AI Model & Agent Comparisons
Side-by-side comparisons of AI models, agent platforms, and the systems that run your institution — built for education and enterprise decision-makers.
Every comparison resolves to the same principle: with ibl.ai you can run any model on infrastructure you own, with no vendor lock-in.
AI Models
Frontier and open-weight LLMs compared for education and enterprise — capability, cost, self-hosting, and data sovereignty.
ChatGPT vs Claude
Comparing OpenAI and Anthropic's flagship models for education and enterprise AI
ChatGPT vs Gemini
Comparing OpenAI and Google's flagship models for education and enterprise AI
Claude vs Gemini
Comparing Anthropic and Google's flagship models for education and enterprise AI
Claude vs Llama
Anthropic's closed frontier model vs Meta's open-weight models you can self-host
DeepSeek vs ChatGPT
Open-weight, cost-efficient reasoning vs OpenAI's closed, managed frontier model
Gemma vs ChatGPT
Google's lightweight open models vs OpenAI's closed, managed frontier model
Grok vs ChatGPT
xAI's real-time-savvy model vs OpenAI's broad, mature frontier model
Kimi vs ChatGPT
Moonshot AI's open-weight agentic model vs OpenAI's closed, managed frontier model
Llama vs ChatGPT
Open-weight models you can self-host vs OpenAI's closed, managed frontier model
Llama vs DeepSeek
Comparing two leading open-weight models you can self-host and fine-tune
Nemotron vs ChatGPT
NVIDIA's open enterprise models vs OpenAI's closed, managed frontier model
Qwen vs Llama
Two leading open-weight model families you can self-host and fine-tune
AI Agents & Engagement
Autonomous agents, assistant builders, and engagement models — own your agents instead of renting them.
AI Agents vs AI Workflows
Autonomous agents that decide steps dynamically vs predefined, deterministic automation
Autonomous Agents vs RAG Assistants
Agents that plan and act on your systems vs assistants that answer from your data
Forward-Deployed Engineering vs DIY Platforms
A platform plus embedded engineers who build with you vs a platform you build on alone
ibl.ai vs Accenture for AI Implementation
The largest AI services practice in the world, or a platform that already exists with the engineers who built it
ibl.ai vs Anthropic's Applied AI Engineers
We deploy Claude and build agents on it too — the difference is that you keep LLM agnosticism and AI sovereignty, owning all the code and the data
ibl.ai vs Deloitte for Enterprise AI Delivery
Industry depth and transformation muscle, or a platform already in production with the engineers who built it
ibl.ai vs Dify
A visual builder for LLM applications you host yourself, or a platform that arrives already integrated with the systems your agents need
ibl.ai vs EY for AI Consulting and Delivery
Advisory depth on governance and regulatory risk, or a platform whose architecture answers the control questions before the assessment starts
ibl.ai vs LibreChat
A capable open-source chat application you host yourself, or an enterprise platform with the operational layers already built
ibl.ai vs Nagarro for AI Engineering
A digital engineering firm that builds your agentic system to order, or a platform already running that its own engineers adapt to you
ibl.ai vs Onyx
A full, owned agentic AI platform with enterprise support — vs. an open-source enterprise-search and chat tool you run yourself
ibl.ai vs Open WebUI
Both run on your own infrastructure and both are yours to modify — the question is how much of an enterprise platform you want to assemble yourself
ibl.ai vs OpenAI's Forward-Deployed Engineers
We deploy OpenAI's models and agents too — the difference is that you keep LLM agnosticism and AI sovereignty, owning all the code and the data
NemoClaw vs Custom GPTs
Guardrailed, owned, self-hosted agents vs assistants on a closed platform
OpenClaw vs Custom GPTs
Owned, self-hosted, any-LLM agents vs assistants built on a closed platform
Self-Hosted AI vs AWS Bedrock & Amazon Q
An owned, model-agnostic, deploy-anywhere AI platform — vs. AWS-native Bedrock + Amazon Q for building agents and enterprise assistants
Self-Hosted AI vs Azure OpenAI Service
OpenAI models inside your Azure subscription, or a platform you own outright and can run anywhere — including with no network at all
Self-Hosted AI vs BoodleBox for Education
One interface onto many models, or an operating system for AI that your institution runs and owns
Self-Hosted AI vs Brisk Teaching for K-12 Districts
An extension that meets teachers inside Google Docs, or a platform the district runs inside its own network
Self-Hosted AI vs ChatGPT Edu
OpenAI's education tier billed per seat, or an institution-owned platform that runs any model on your own infrastructure
Self-Hosted AI vs ChatGPT Enterprise for Corporate L&D
Own the models, data, and code behind your corporate l&d AI on your own infrastructure — vs. a per-seat assistant running in OpenAI's cloud
Self-Hosted AI vs ChatGPT Enterprise for Defense & Intelligence
Own the models, data, and code behind your defense & intelligence AI on your own infrastructure — vs. a per-seat assistant running in OpenAI's cloud
Self-Hosted AI vs ChatGPT Enterprise for Energy & Utilities
Own the models, data, and code behind your energy & utilities AI on your own infrastructure — vs. a per-seat assistant running in OpenAI's cloud
Self-Hosted AI vs ChatGPT Enterprise for Financial Services
Own the models, data, and code behind your financial services AI on your own infrastructure — vs. a per-seat assistant running in OpenAI's cloud
Self-Hosted AI vs ChatGPT Enterprise for Government
Own the models, data, and code behind your government AI on your own infrastructure — vs. a per-seat assistant running in OpenAI's cloud
Self-Hosted AI vs ChatGPT Enterprise for Healthcare
Own the models, data, and code behind your healthcare AI on your own infrastructure — vs. a per-seat assistant running in OpenAI's cloud
Self-Hosted AI vs ChatGPT Enterprise for Higher Education
Own the models, data, and code behind your higher education AI on your own infrastructure — vs. a per-seat assistant running in OpenAI's cloud
Self-Hosted AI vs ChatGPT Enterprise for Insurance
Own the models, data, and code behind your insurance AI on your own infrastructure — vs. a per-seat assistant running in OpenAI's cloud
Self-Hosted AI vs ChatGPT Enterprise for K-12
Own the models, data, and code behind your k-12 AI on your own infrastructure — vs. a per-seat assistant running in OpenAI's cloud
Self-Hosted AI vs ChatGPT Enterprise for Legal
Own the models, data, and code behind your legal AI on your own infrastructure — vs. a per-seat assistant running in OpenAI's cloud
Self-Hosted AI vs ChatGPT Enterprise for Manufacturing
Own the models, data, and code behind your manufacturing AI on your own infrastructure — vs. a per-seat assistant running in OpenAI's cloud
Self-Hosted AI vs ChatGPT Enterprise for Pharmaceuticals
Own the models, data, and code behind your pharmaceuticals AI on your own infrastructure — vs. a per-seat assistant running in OpenAI's cloud
Self-Hosted AI vs ChatGPT Enterprise for Small Business
Own the models, data, and code behind your small business AI on your own infrastructure — vs. a per-seat assistant running in OpenAI's cloud
Self-Hosted AI vs Claude for Corporate L&D
Own the models, data, and code behind your corporate l&d AI on your own infrastructure — vs. a per-seat assistant running in Anthropic's cloud
Self-Hosted AI vs Claude for Defense & Intelligence
Own the models, data, and code behind your defense & intelligence AI on your own infrastructure — vs. a per-seat assistant running in Anthropic's cloud
Self-Hosted AI vs Claude for Education
Anthropic's education tier billed per seat, or an institution-owned platform that can run Claude alongside every other model
Self-Hosted AI vs Claude for Energy & Utilities
Own the models, data, and code behind your energy & utilities AI on your own infrastructure — vs. a per-seat assistant running in Anthropic's cloud
Self-Hosted AI vs Claude for Financial Services
Own the models, data, and code behind your financial services AI on your own infrastructure — vs. a per-seat assistant running in Anthropic's cloud
Self-Hosted AI vs Claude for Government
Own the models, data, and code behind your government AI on your own infrastructure — vs. a per-seat assistant running in Anthropic's cloud
Self-Hosted AI vs Claude for Healthcare
Own the models, data, and code behind your healthcare AI on your own infrastructure — vs. a per-seat assistant running in Anthropic's cloud
Self-Hosted AI vs Claude for Higher Education
Own the models, data, and code behind your higher education AI on your own infrastructure — vs. a per-seat assistant running in Anthropic's cloud
Self-Hosted AI vs Claude for Insurance
Own the models, data, and code behind your insurance AI on your own infrastructure — vs. a per-seat assistant running in Anthropic's cloud
Self-Hosted AI vs Claude for K-12
Own the models, data, and code behind your k-12 AI on your own infrastructure — vs. a per-seat assistant running in Anthropic's cloud
Self-Hosted AI vs Claude for Legal
Own the models, data, and code behind your legal AI on your own infrastructure — vs. a per-seat assistant running in Anthropic's cloud
Self-Hosted AI vs Claude for Manufacturing
Own the models, data, and code behind your manufacturing AI on your own infrastructure — vs. a per-seat assistant running in Anthropic's cloud
Self-Hosted AI vs Claude for Pharmaceuticals
Own the models, data, and code behind your pharmaceuticals AI on your own infrastructure — vs. a per-seat assistant running in Anthropic's cloud
Self-Hosted AI vs Claude for Small Business
Own the models, data, and code behind your small business AI on your own infrastructure — vs. a per-seat assistant running in Anthropic's cloud
Self-Hosted AI vs Cohere
Both run privately on your infrastructure — but one locks you to a single model family, and the other runs any LLM on a stack you fully own
Self-Hosted AI vs CollegeVine for Higher Education
Managed AI agents for enrollment, or a campus-owned platform that runs every institutional workflow on your own infrastructure
Self-Hosted AI vs Element451 for Higher Education
An admissions CRM with AI woven through it, or an AI platform that works across every system the institution already runs
Self-Hosted AI vs Gemini for Corporate L&D
Own the models, data, and code behind your corporate l&d AI on your own infrastructure — vs. a per-seat assistant running in Google's cloud
Self-Hosted AI vs Gemini for Defense & Intelligence
Own the models, data, and code behind your defense & intelligence AI on your own infrastructure — vs. a per-seat assistant running in Google's cloud
Self-Hosted AI vs Gemini for Energy & Utilities
Own the models, data, and code behind your energy & utilities AI on your own infrastructure — vs. a per-seat assistant running in Google's cloud
Self-Hosted AI vs Gemini for Financial Services
Own the models, data, and code behind your financial services AI on your own infrastructure — vs. a per-seat assistant running in Google's cloud
Self-Hosted AI vs Gemini for Government
Own the models, data, and code behind your government AI on your own infrastructure — vs. a per-seat assistant running in Google's cloud
Self-Hosted AI vs Gemini for Healthcare
Own the models, data, and code behind your healthcare AI on your own infrastructure — vs. a per-seat assistant running in Google's cloud
Self-Hosted AI vs Gemini for Higher Education
Own the models, data, and code behind your higher education AI on your own infrastructure — vs. a per-seat assistant running in Google's cloud
Self-Hosted AI vs Gemini for Insurance
Own the models, data, and code behind your insurance AI on your own infrastructure — vs. a per-seat assistant running in Google's cloud
Self-Hosted AI vs Gemini for K-12
Own the models, data, and code behind your k-12 AI on your own infrastructure — vs. a per-seat assistant running in Google's cloud
Self-Hosted AI vs Gemini for Legal
Own the models, data, and code behind your legal AI on your own infrastructure — vs. a per-seat assistant running in Google's cloud
Self-Hosted AI vs Gemini for Manufacturing
Own the models, data, and code behind your manufacturing AI on your own infrastructure — vs. a per-seat assistant running in Google's cloud
Self-Hosted AI vs Gemini for Pharmaceuticals
Own the models, data, and code behind your pharmaceuticals AI on your own infrastructure — vs. a per-seat assistant running in Google's cloud
Self-Hosted AI vs Gemini for Small Business
Own the models, data, and code behind your small business AI on your own infrastructure — vs. a per-seat assistant running in Google's cloud
Self-Hosted AI vs Glean
Own the models, data, and code behind your enterprise AI on your own servers — vs. a per-seat work assistant and search delivered as managed SaaS
Self-Hosted AI vs Glean for Corporate L&D
Own the models, data, and code behind your corporate l&d AI on your own infrastructure — vs. a per-seat assistant running in Glean's cloud
Self-Hosted AI vs Glean for Defense & Intelligence
Own the models, data, and code behind your defense & intelligence AI on your own infrastructure — vs. a per-seat assistant running in Glean's cloud
Self-Hosted AI vs Glean for Energy & Utilities
Own the models, data, and code behind your energy & utilities AI on your own infrastructure — vs. a per-seat assistant running in Glean's cloud
Self-Hosted AI vs Glean for Financial Services
Own the models, data, and code behind your financial services AI on your own infrastructure — vs. a per-seat assistant running in Glean's cloud
Self-Hosted AI vs Glean for Government
Own the models, data, and code behind your government AI on your own infrastructure — vs. a per-seat assistant running in Glean's cloud
Self-Hosted AI vs Glean for Healthcare
Own the models, data, and code behind your healthcare AI on your own infrastructure — vs. a per-seat assistant running in Glean's cloud
Self-Hosted AI vs Glean for Higher Education
Own the models, data, and code behind your higher education AI on your own infrastructure — vs. a per-seat assistant running in Glean's cloud
Self-Hosted AI vs Glean for Insurance
Own the models, data, and code behind your insurance AI on your own infrastructure — vs. a per-seat assistant running in Glean's cloud
Self-Hosted AI vs Glean for K-12
Own the models, data, and code behind your k-12 AI on your own infrastructure — vs. a per-seat assistant running in Glean's cloud
Self-Hosted AI vs Glean for Legal
Own the models, data, and code behind your legal AI on your own infrastructure — vs. a per-seat assistant running in Glean's cloud
Self-Hosted AI vs Glean for Manufacturing
Own the models, data, and code behind your manufacturing AI on your own infrastructure — vs. a per-seat assistant running in Glean's cloud
Self-Hosted AI vs Glean for Pharmaceuticals
Own the models, data, and code behind your pharmaceuticals AI on your own infrastructure — vs. a per-seat assistant running in Glean's cloud
Self-Hosted AI vs Glean for Small Business
Own the models, data, and code behind your small business AI on your own infrastructure — vs. a per-seat assistant running in Glean's cloud
Self-Hosted AI vs Google Vertex AI
An owned, model-agnostic, deploy-anywhere AI platform — vs. Google's GCP-native Vertex AI for building agents and apps on Gemini and Model Garden
Self-Hosted AI vs Harvey for Law Firms
Managed legal AI priced per lawyer, or a platform the firm runs inside its own perimeter where privileged material never leaves
Self-Hosted AI vs Hippocratic AI for Healthcare
Managed patient-facing agents billed per agent, or clinical AI running inside the health system's own network
Self-Hosted AI vs Khanmigo for K-12 Districts
An AI tutor built around one organization's curriculum, or a tutoring platform pointed at the curriculum your district actually teaches
Self-Hosted AI vs MagicSchool AI for K-12 Districts
A hosted library of teacher tools, or an AI platform the district owns and runs inside its own perimeter
Self-Hosted AI vs Microsoft AI Cloud
An owned, model-agnostic, deploy-anywhere AI platform — vs. Microsoft's Azure-native AI Cloud (AI Foundry + Azure OpenAI) for building agents and apps
Self-Hosted AI vs Microsoft Copilot for Corporate L&D
Own the models, data, and code behind your corporate l&d AI on your own infrastructure — vs. a per-seat assistant running in the Microsoft cloud
Self-Hosted AI vs Microsoft Copilot for Defense & Intelligence
Own the models, data, and code behind your defense & intelligence AI on your own infrastructure — vs. a per-seat assistant running in the Microsoft cloud
Self-Hosted AI vs Microsoft Copilot for Energy & Utilities
Own the models, data, and code behind your energy & utilities AI on your own infrastructure — vs. a per-seat assistant running in the Microsoft cloud
Self-Hosted AI vs Microsoft Copilot for Financial Services
Own the models, data, and code behind your financial services AI on your own infrastructure — vs. a per-seat assistant running in the Microsoft cloud
Self-Hosted AI vs Microsoft Copilot for Government
Own the models, data, and code behind your government AI on your own infrastructure — vs. a per-seat assistant running in the Microsoft cloud
Self-Hosted AI vs Microsoft Copilot for Healthcare
Own the models, data, and code behind your healthcare AI on your own infrastructure — vs. a per-seat assistant running in the Microsoft cloud
Self-Hosted AI vs Microsoft Copilot for Higher Education
Own the models, data, and code behind your higher education AI on your own infrastructure — vs. a per-seat assistant running in the Microsoft cloud
Self-Hosted AI vs Microsoft Copilot for Insurance
Own the models, data, and code behind your insurance AI on your own infrastructure — vs. a per-seat assistant running in the Microsoft cloud
Self-Hosted AI vs Microsoft Copilot for K-12
Own the models, data, and code behind your k-12 AI on your own infrastructure — vs. a per-seat assistant running in the Microsoft cloud
Self-Hosted AI vs Microsoft Copilot for Legal
Own the models, data, and code behind your legal AI on your own infrastructure — vs. a per-seat assistant running in the Microsoft cloud
Self-Hosted AI vs Microsoft Copilot for Manufacturing
Own the models, data, and code behind your manufacturing AI on your own infrastructure — vs. a per-seat assistant running in the Microsoft cloud
Self-Hosted AI vs Microsoft Copilot for Pharmaceuticals
Own the models, data, and code behind your pharmaceuticals AI on your own infrastructure — vs. a per-seat assistant running in the Microsoft cloud
Self-Hosted AI vs Microsoft Copilot for Small Business
Own the models, data, and code behind your small business AI on your own infrastructure — vs. a per-seat assistant running in the Microsoft cloud
Self-Hosted AI vs Moveworks for Enterprise IT
Managed IT and HR support agents priced per employee, or an owned platform that runs support and everything else on your infrastructure
Self-Hosted AI vs Perplexity Enterprise Pro for Corporate L&D
Own the models, data, and code behind your corporate l&d AI on your own infrastructure — vs. a per-seat assistant running in Perplexity's cloud
Self-Hosted AI vs Perplexity Enterprise Pro for Defense & Intelligence
Own the models, data, and code behind your defense & intelligence AI on your own infrastructure — vs. a per-seat assistant running in Perplexity's cloud
Self-Hosted AI vs Perplexity Enterprise Pro for Energy & Utilities
Own the models, data, and code behind your energy & utilities AI on your own infrastructure — vs. a per-seat assistant running in Perplexity's cloud
Self-Hosted AI vs Perplexity Enterprise Pro for Financial Services
Own the models, data, and code behind your financial services AI on your own infrastructure — vs. a per-seat assistant running in Perplexity's cloud
Self-Hosted AI vs Perplexity Enterprise Pro for Government
Own the models, data, and code behind your government AI on your own infrastructure — vs. a per-seat assistant running in Perplexity's cloud
Self-Hosted AI vs Perplexity Enterprise Pro for Healthcare
Own the models, data, and code behind your healthcare AI on your own infrastructure — vs. a per-seat assistant running in Perplexity's cloud
Self-Hosted AI vs Perplexity Enterprise Pro for Higher Education
Own the models, data, and code behind your higher education AI on your own infrastructure — vs. a per-seat assistant running in Perplexity's cloud
Self-Hosted AI vs Perplexity Enterprise Pro for Insurance
Own the models, data, and code behind your insurance AI on your own infrastructure — vs. a per-seat assistant running in Perplexity's cloud
Self-Hosted AI vs Perplexity Enterprise Pro for K-12
Own the models, data, and code behind your k-12 AI on your own infrastructure — vs. a per-seat assistant running in Perplexity's cloud
Self-Hosted AI vs Perplexity Enterprise Pro for Legal
Own the models, data, and code behind your legal AI on your own infrastructure — vs. a per-seat assistant running in Perplexity's cloud
Self-Hosted AI vs Perplexity Enterprise Pro for Manufacturing
Own the models, data, and code behind your manufacturing AI on your own infrastructure — vs. a per-seat assistant running in Perplexity's cloud
Self-Hosted AI vs Perplexity Enterprise Pro for Pharmaceuticals
Own the models, data, and code behind your pharmaceuticals AI on your own infrastructure — vs. a per-seat assistant running in Perplexity's cloud
Self-Hosted AI vs Perplexity Enterprise Pro for Small Business
Own the models, data, and code behind your small business AI on your own infrastructure — vs. a per-seat assistant running in Perplexity's cloud
Self-Hosted AI vs SchoolAI for K-12 Districts
Student-facing AI spaces run by a vendor, or the same capability running inside the district's own perimeter
Education & Enterprise Systems
Compare the LMS, SIS, CRM, and analytics platforms that anchor your institutional stack.
AI Agents vs Copilots
A copilot waits for a person to ask. An agent is given an objective and works until it is done — which changes the economics, the risk, and the infrastructure
API Inference vs Self-Hosted GPU
Rent tokens from a provider or run the model on hardware you own — where the break-even actually falls, and what changes besides the invoice
Blackboard Learn vs Moodle LMS
Comprehensive comparison for Enterprise vs open-source learning management
Build vs Buy Enterprise AI
Write the platform yourself, license someone else's, or buy the source code and skip the eighteen months in between
Canvas LMS vs Blackboard Learn
Comprehensive Comparison for Corporate Training and L&D
Canvas LMS vs Blackboard Learn
Comprehensive comparison for Higher education LMS selection
Canvas LMS vs D2L Brightspace
Comprehensive comparison for Modern LMS platforms for higher ed and K-12
Canvas LMS vs Moodle LMS
Comprehensive comparison for Commercial vs open-source LMS
Cost-Plus vs an Owned AI Platform
Reimburse the contractor's costs and add a fee, or buy a platform whose cost was already incurred by someone else
EAB Navigate vs Hobsons Starfish
Comprehensive comparison for Student success and advising platforms
Ellucian Banner vs PeopleSoft Campus Solutions
Comprehensive comparison for Legacy SIS platforms for large universities
Ellucian Banner vs Workday Student
Comprehensive comparison for Legacy vs modern cloud-native SIS
Fixed-Price AI Builds vs an Owned Platform
One number for a scope agreed before anyone understood the problem, or a platform that already exists with the customization scoped on top
HIPAA BAA vs Self-Hosted AI
A business associate agreement moves liability. Self-hosting removes the disclosure entirely — the difference matters more than most procurement checklists assume
Labor-Hour Contracts vs an Owned AI Platform
A time-and-materials contract without the materials — and with the same reason it exists: nobody can size the work yet
MCP vs Custom API Integrations
Wire every model to every system by hand, or expose each system once through a protocol any model can speak
On-Premise vs Cloud AI Deployment
Run the platform inside your own data center or inside someone else's — what actually changes for residency, latency, cost, and control
Open-Weight vs Proprietary LLMs
Download the weights and run them yourself, or call the best closed model through an API — and why committing to either one permanently is the actual mistake
PeopleSoft Campus Solutions vs Workday Student
Comprehensive comparison for SIS modernization decision
Per-Seat vs Usage-Based AI Pricing
Two ways to buy the same AI capability — one bills every employee whether they use it or not, the other bills the work actually done
Rate Cards vs a Flat Platform Licence
Buy hours priced by seniority, or buy a platform priced once — and notice which one has a ceiling
Self-Hosted AI vs ChatGPT Enterprise
Own your models, data, and code on your own servers — vs. renting a managed assistant in the vendor's cloud
Self-Hosted AI vs Microsoft Copilot
Own your models, data, and code on your own servers — vs. a per-seat assistant embedded in the Microsoft cloud
ServiceNow vs Jira Service Management
Comprehensive comparison for IT service management for educational institutions
Single-Tenant vs Multi-Tenant AI Platforms
Your own instance or a shared one with logical partitions — what tenancy changes for isolation, customization, and the evidence you can hand an auditor
Staff Augmentation vs Forward-Deployed Engineering
Rent engineers to build your AI platform, or bring in the team that already built one and have them adapt it to you
Tableau vs Power BI
Comprehensive comparison for Institutional analytics and reporting
Technolutions Slate vs Salesforce Education Cloud
Comprehensive comparison for Admissions CRM for enrollment management
Time & Materials vs an Owned AI Platform
Pay by the hour while a vendor builds your platform from scratch, or start from one that already exists and pay for the customization on top
What do these AI platform comparisons cover?
These 152 comparisons put two systems side by side on the axes that decide a deployment: who owns the source code, where the data lives, whether you are locked to one vendor's models, and how the pricing scales with headcount. They cover LMS and SIS platforms, enterprise AI vendors, agent frameworks, and individual models.
How should I use a comparison page during an evaluation?
Each comparison keeps its matrix honest — every tool wins where it genuinely leads — so the page is usable as evidence in a real evaluation rather than as a sales sheet. Read the ownership and deployment rows first: those are the properties you cannot change after signing, whereas features ship continuously. Then check the pricing shape, since a per-seat contract and a usage-based one diverge by an order of magnitude above a few hundred users.
What makes the ibl.ai platform different?
ibl.ai is the agentic AI platform where you own all the code and the data. You self-host the entire stack inside your own perimeter, run it model-agnostic across any LLM and switch anytime, and pay by usage with no per-seat pricing — so you can deploy anywhere: your cloud, on-premise, GovCloud, or fully air-gapped.