Best Enterprise AI Platforms in 2026: Assistants, Search, Agents and Company Intelligence Compared

TL;DR

• The best enterprise AI platforms in 2026 fall into four groups: assistants (ChatGPT Enterprise, Microsoft Copilot, Gemini Enterprise, Claude Enterprise), work search (Glean), agent platforms (Moveworks, Salesforce Agentforce, ServiceNow AI Agents) and company intelligence (Sentra).
• Most companies end up running one assistant, one or two agent platforms, and a shared context layer. The decision that matters is which group you need first, not which logo wins a feature grid.
• Score every vendor on security, permissions, deployment, connectors, cost model and who owns the context. The last one decides how expensive it is to change models in two years.
• Sentra is the company intelligence and memory underneath the others. It reads email, chat, meetings, documents, ERP, CRM, HRIS and BI, and any assistant or agent can use it over REST or MCP.

What enterprise AI platforms are

Enterprise AI platforms are software products that apply large language models to a company's own data, under the company's identity, permission and compliance controls. An enterprise AI platform differs from a consumer chatbot in three ways: it connects to internal systems, it enforces who may see what, and it is bought, administered and audited centrally.

The phrase covers very different products. A CIO comparing Microsoft Copilot with Salesforce Agentforce is comparing a writing and search assistant with a system that executes customer workflows. Both are enterprise AI software. They solve different problems and sit in different budgets. Sorting the market by what each product is gives you a shorter, more useful shortlist than sorting by features.

The best enterprise AI platforms compared

The table lists published pricing where the vendor publishes it. Where a price comes from a third party, the row says so.

Sources for each row are in the sections below.

Assistants: ChatGPT Enterprise, Microsoft Copilot, Gemini Enterprise, Claude Enterprise

Assistants are where most enterprise AI spend starts, because every employee can use one on day one.

ChatGPT Enterprise

ChatGPT Enterprise is OpenAI's sales-led plan. OpenAI publishes no Enterprise seat price and asks buyers to contact sales (chatgpt.com). The self-serve ChatGPT Business plan costs $20 per user per month billed annually or $25 monthly for a Standard seat, with a two-seat minimum (help.openai.com). OpenAI says it does not train on data from Enterprise or Business by default, and eligible Enterprise customers can store content at rest in ten regions, including the US, Europe, the UK, Japan and India (openai.com). Enterprise adds SCIM, role-based access controls and Enterprise Key Management.

Microsoft Copilot

Microsoft has renamed Microsoft 365 Copilot to Microsoft Copilot (learn.microsoft.com). It costs $30 per user per month paid yearly as an add-on to a qualifying Microsoft 365 licence (microsoft.com). Copilot answers from Microsoft Graph and only surfaces data a user has at least view permission for. Microsoft states that prompts, responses and Graph data are not used to train foundation models.

Gemini Enterprise

Gemini Enterprise is Google Cloud's agent and assistant product. Google says it plugs into Microsoft 365, Slack, Confluence, Jira, Salesforce and more, runs under each person's existing permissions, and never uses customer prompts or outputs to train Google models (cloud.google.com). At its October 2025 launch, Business cost $21 and Enterprise $30 per person per month (axios.com). Google's page now lists starting prices in local currency, so confirm yours. Standard and Plus add VPC Service Controls and customer-managed encryption keys.

Claude Enterprise

Claude Enterprise costs $20 per seat per month billed annually plus usage at API rates, with a 20-seat minimum (claude.com). It adds SCIM, audit logs, a Compliance API, custom retention and IP allowlisting. Anthropic lists no model training on Enterprise content by default.

Work search: Glean

Glean is the best known enterprise search product. It connects to many apps, indexes content, and answers with permission awareness. Glean lists SOC 2, ISO 27001, HIPAA and GDPR on its enterprise AI software page. Glean publishes no rate card. Metronome estimates $45 to $50 per user per month for the base platform plus about $15 for Work AI. Our Glean pricing breakdown works out annual cost by seat count.

Search returns documents that match a question. It does not tell you which of three conflicting documents is current, or that a commitment made in a meeting was quietly dropped.

Agent platforms: Moveworks, Salesforce Agentforce, ServiceNow

Agent platforms take actions inside systems of record. They are bought per function, usually by the owner of that system.

Moveworks

ServiceNow completed its acquisition of Moveworks on 15 December 2025 and plans to fold Moveworks' assistant, enterprise search and reasoning engine into its own agentic platform (businesswire.com). About 5.5 million employees use Moveworks. Moveworks ranks first in its own enterprise AI solutions roundup, which lists ServiceNow as a separate competitor. Read it with that in mind.

Salesforce Agentforce

Agentforce runs agents on Salesforce data. Salesforce lists $2 per conversation for customer-facing agents, Flex Credits at $500 per 100,000 credits with 20 credits per action, and Agentforce add-ons for Sales or Service at $125 per user per month (salesforce.com).

ServiceNow AI Agents

ServiceNow AI Agents run inside the ServiceNow AI Platform. AI Agent Studio builds agents in natural language, and Action Fabric connects third-party agents over the A2A protocol and external tools over MCP (servicenow.com). Pricing is through sales.

Company intelligence: Sentra

Sentra is a different kind of product from everything above. It does not replace an assistant or an agent platform. It gives all of them the same current picture of how the company runs.

Sentra reads email, chat, meetings, documents, ERP, CRM, HRIS and BI. It works out what is true now, who owns what, and what changed. It knows when a fact became true and when it stopped being true, so an agent asking about a launch date gets the current one and the history behind it. It then acts first: it finds what is going wrong and tells the person who should act. A named person approves before Sentra acts or sends anything.

Enterprise AI evaluation checklist

Moveworks and Glean both list evaluation criteria without telling you what a good answer looks like. Use this scorecard instead. Score each vendor 1 to 5 on each row, multiply by the weight, and compare totals. Ask for evidence, not slides.

Example row, filled in: "Permissions, weight 20%. Vendor A showed a restricted HR document denied to a sales user in the pilot. Score 5, weighted 1.0." A vendor that only describes permissions in a slide scores 2.

Two checks catch most weak vendors. First, ask what happens when a permission check fails or times out. The safe answer is that the user gets no access. Second, ask where the context the tool builds over a year lives. If it lives only inside one assistant, switching assistants means starting over. Our guide to AI agent permissions covers the first in depth.

Where Sentra fits in an enterprise AI stack

Every platform on this list builds its own partial view of your company. Copilot sees Microsoft 365. Agentforce sees Salesforce. ChatGPT sees whatever connectors you turn on. None of them holds a shared, current record of decisions, owners and commitments across all of those systems, so two agents can give two different answers to the same question.

Sentra is that shared record. It connects to more than 200 integrations, joins systems of record with what people say in email, chat and meetings, and serves the result over REST and MCP. ChatGPT, Claude, Copilot, Gemini and internal agents can all query the same company memory. Every answer and action respects each source's existing permissions, checked at query time, and a failed check counts as no access.

The memory also makes agents cheaper to run. On Terminal-Bench 2.1, agents using Sentra scored 88.31% against an 83.37% baseline, with 72.6% lower model cost and 41.2% fewer tokens. At Lenskart, employees and their agents run about 11,000 queries a week over MCP, and time to root cause fell from 3 to 4 days to about 30 minutes.

Sentra holds SOC 2 Type II and ISO 27001 and deploys in the cloud, an isolated VPC or air-gapped on-prem. Because the context lives in Sentra, you can change assistants or models without losing what the company has learned.

To see it on your own systems, book a demo.

How to choose an enterprise AI platform

Start from the problem, then pick the group, then the vendor.

1. Everyone needs help writing, summarising and analysing. Buy an assistant. Pick the one that matches your office suite: Copilot for Microsoft 365, Gemini for Google Workspace. Pick ChatGPT Enterprise or Claude Enterprise when you want independence from the suite or specific model strengths.

2. People cannot find documents. Add work search such as Glean, or check whether your assistant's connectors already cover your main sources.

3. A specific workflow should run itself. Buy the agent platform that lives in that system of record: Agentforce for Salesforce, ServiceNow AI Agents or Moveworks for service desks.

4. Answers conflict across tools, follow-ups slip, and agents restate stale facts. That is a context problem. Add a company intelligence layer such as Sentra under whatever assistants and agents you run.

5. Regulated data cannot leave your boundary. Filter on deployment before features. Shortlist only vendors that run in your cloud account or on-prem.

Run a four-week pilot with two vendors per group, on your own data, with the scorecard above. Decide on evidence from the pilot. More on rollout sequencing is in our guide to enterprise AI agents.

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