Why use ollo
ollo's proprietary enterprise context layer is custom built for every company. We do this because every company is different.
ollo context layer
Maya Collins. Owns the all-hands recording and notes.
people › maya-collins
Weekly all-hands, Fridays 9:30, live via Fathom.
processes › all-hands
Leo Martin, tech team. Next all-hands is this Friday.
people › leo-martin
ollo gives it that context before it opens a single document.
Sources
Where the knowledge lives
Unstructured data across the company including documents, applications, call notes and more
Enterprise context layer
Organisational memory
source-cited · permission-aware · machine-maintained · conflicts preserved, not resolved
Context injected into
We build your first agent with you in week one. Your team builds the next ten. Made for non-technical teams, no engineers needed.
How others compare: ChatGPT, Claude and Copilot are self-serve. You start with an empty prompt box unless you're paying millions as a large enterprise.
A shared, source-cited map of your people, projects, customers and processes, shaped to your organisation and kept up to date automatically.
How others compare: Others search your connected apps one question at a time, and memory stays with each user.
Set each agent’s access action by action. Let it read Drive freely, draft in Gmail with approval, and never delete anything. See it plainly, with full control.
How others compare: Others offer broad approval prompts, hidden across settings. ollo gives you a switch for every action on every tool.
Claude, GPT, Gemini and open-source models, matched to each task, so you're not paying frontier prices for every question.
How others compare: ChatGPT is OpenAI only. Claude is Anthropic only. Copilot offers OpenAI and Anthropic models.
As of October 2026. We update this page when they ship.
| Capability |  ChatGPT |  Claude |  Copilot | |
|---|---|---|---|---|
| Hands-on co-build | YesIncluded | NoSelf-serve | NoSelf-serve | PartialVia paid partners |
| Company-wide context layer | YesShaped to your organisation | PartialPer-question search | PartialPer-question search | PartialMicrosoft Graph |
| Read, write and approval control per agent | YesVisible per agent and tool | Partial | Partial | PartialCopilot Studio |
| Model choice | YesFrontier models and open-source | NoOpenAI only | NoAnthropic only | PartialOpenAI and Anthropic |
Keep them. ollo makes your existing AI stack work with company context, stronger controls, and lower model costs.
Copilot, ChatGPT, and Claude give your team access to AI. ollo adds trusted sources, permissions, approval rules, audit trails, and an enterprise context layer that helps agents understand how your company works.
We offer frontier models alongside cost-efficient open-weight ones. This means each agent runs on the right model for the task and not always the most expensive ones, saving clients on frontier credit usage.
Two reasons.
First, cost: most everyday tasks don’t need an expensive frontier model, and you don’t need a Ferrari to pick up milk from the corner shop. ollo offers lower-cost models alongside the frontier ones and guides your team on matching each task to the right one.
Second, freedom: AI is moving fast, and today’s best model may not be tomorrow’s. With ollo you’re never locked into one vendor, so you can switch whenever something better comes along.
Agents read your systems through connectors at the moment you ask, under the account you connect. If you opt in to the context layer, only the collections you choose are indexed. ollo runs on Google Cloud with SOC 2 Type II and ISO 27001.
No. The builder is visual and made for the people who know the workflow. We build the first agent with you so your team learns by doing.
