How much does Within cost?

Pricing is not published. Klarity sells to finance and accounting teams through enterprise engagement, typically scaled to document volume, modules, and users, with rates quoted rather than listed.

Does Within support MCP and tool calling?

Partial under the Agentic Index verification standard. Within publishes some public evidence of tool calling and API or SDK extensibility, but narrower than full Model Context Protocol (MCP) support as defined by the Agentic Index taxonomy. Evidence basis: Within MCP exposes the live company brain to outside AI tools, with the platform page showing major AI platforms querying it (where can we take 15 percent of cost out, what should agents take over first) and Advisor feeding AI tools live co. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Within have SOC 2, SSO and role based access control?

Partial under the Agentic Index verification standard. Within publishes some public evidence of security and identity controls, but narrower than the full set of SOC 2, single sign on (SSO) and role based access control (RBAC). Evidence basis: Compliance is documented and strong: SOC 2 Type II audited annually by an independent third party across Security, Availability and Confidentiality, SOC 1 Type II, GDPR and CCPA, with reports available on request from the vendor's infosec a. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Within

Q: Who is Within for?

revenue accounting and finance operations teams, internal audit and controllership, high growth and public companies

Q: What are the best alternatives to Within?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Within among agent infrastructure platforms are Veecle, Catalog, Lemrock, Rime. Each is graded on the same public evidence, and no vendor pays for placement.

Also known as: Klarity, Klarity Intelligence, klarity.ai, Company Brain, Companion, Advisor, Within MCP

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Agent infrastructureindependentVerified 2026-09-07

Entry priceContact for pricingFull pricing detail

AI transformation platform that observes how work actually happens across an enterprise, structures it into a living context graph it calls Company Brain, and serves that context to the customer's own agents, models and AI platforms over MCP. Companion handles discovery, Advisor ranks automation opportunities by ROI and packages reusable skill files, and the solutions surface spans finance, IT, GTM, HR and operations transformation. Formerly Klarity; its Automate accounting platform was divested to Cognida in August 2026 and is no longer sold by this vendor.

Within, formerly Klarity, builds what it calls the company brain: a platform that discovers how an organization actually works, structures that knowledge as AI ready context, and grounds agents in it. Its Companion surfaces the workflows, decisions and patterns that live outside documented systems by observing how work happens, without integrations or months of interviews. The Company Brain turns those observations into a living context graph, thousands of connected processes forming the organizational intelligence layer that agents, models and processes across the customer's stack run on.

Advisor queries that graph in natural language, ranks automation opportunities by the time and cost they would save, recommends which skills to build, packages a team's best practice into reusable skill files a wider group can run, and feeds live context to outside AI tools through Within MCP, so an assistant can ask where cost can be taken out or what agents should take over first.

The platform is sold for finance, IT, go to market, HR and operations transformation and to private equity operating partners, with customers including DoorDash, ServiceNow, Stripe, Uber, Salesforce, JLL, Baker Tilly and Tyler Technologies; DoorDash captured over 3,800 processes in fourteen weeks and ServiceNow discovered work across 840 people in nine days. Within is SOC 2 Type II and SOC 1 Type II certified, audited annually by an independent firm, GDPR and CCPA compliant, and states that neither it nor its AI providers train on customer data.

Founded in 2017 and based in San Francisco, it is led by co-founder and chief executive Andrew Antos, raised a Series B led by Tola Capital, and renamed from Klarity in August 2026. It is sold by demo, and it does not publish an API reference, customer chosen models, or a deployment or residency option.

Vendor details

Canonical URL

https://www.within.ai

Subcategory

AI document review and process automation for accounting

Funding status

Independent, based in San Francisco and legally Klarity Intelligence, Inc., founded in 2017 by Andrew Antos, a Harvard trained lawyer and its chief executive, and Nischal Nadhamuni, an MIT computer scientist and its chief technology officer. Klarity raised a Series B round led by Tola Capital. It has reviewed nearly one hundred fifty thousand contracts and serves finance and accounting teams at high growth and public companies, including DoorDash, with reported accuracy above human review and material reductions in time to close.

Company status

independent

Use cases & customers

Primary use cases

revenue contract revieworder to cash automationaccounts payable automationSOX testing and controls

Target customers

revenue accounting and finance operations teamsinternal audit and controllershiphigh growth and public companies

Deployment options

SaaScloud

Integrations

Klarity integrates into the enterprise finance stack, automatically pulling documents from Salesforce and other repositories and connecting to ERP and financial systems including NetSuite, Oracle Fusion Cloud ERP, SAP ERP, and Workday Financial Management, then feeding extracted and validated data back into spreadsheets, ERP, or CRM. Results populate review checklists inside the application with notifications and audit logs.

In practice

Your revenue accountants spend hours per contract building checklists and hunting for non standard terms before every close. Klarity pulls the contracts, extracts the clauses, and populates the checklist automatically, so they review rather than transcribe.

Month end close drags because document review is manual and error prone across order to cash and accounts payable. Klarity automates extraction, validation, and matching with audit logs, cutting close time and reducing control failures.

You want to transform finance operations with AI but cannot even document how the work is done today. Klarity's AI Interviewer turns recorded walkthroughs into standard operating procedures in minutes and flags the highest return automations.

Sources & related URLs

Research sources

https://www.klarity.ai/ https://www.klarity.ai/post/revenue-accounting-contract-review-why-ocr-and-clm-are-not-enough https://www.crunchbase.com/organization/klarity https://barndoor.ai/ai-tools/klarity/

Agentic Index coverage score

2.5 / 14 capabilities · 18%

Integrations & Tool Calling	Not documented
Companion discovers how work happens by observing activity, and the platform page states plainly that this requires no integrations. The platform reaches the customer's AI tools through MCP, which runs the other way. No connector catalog, custom tool route or authenticated action taken by an agent in an outside system is documented; the skills Advisor produces are files a customer's own teams and agents run. The Salesforce, NetSuite, Oracle Fusion, SAP and Workday connections belonged to the accounting product Within no longer sells. SourceWithin, within.ai/platformread 2026-09-07
Workflow Orchestration	Not documented
The current platform is described in three stages, discover, structure, improve, and the vendor says agents work alongside people once grounded. Whether the platform executes multi step work itself or hands context to agents the customer runs elsewhere is not settled by the pages that render. SourceWithin, within.ai/platformread 2026-09-07
Knowledge Grounding & RAG	Full
The Company Brain is a living context graph over how the customer's organization actually works, built from observed activity and structured into what the vendor calls organizational intelligence, holding thousands of connected processes and persisting as the layer every agent, model and process in the customer's stack runs on, queried in natural language through Advisor and exposed to outside tools over MCP. It persists and stays queryable rather than being assembled per run. SourceWithin, within.ai/platformread 2026-09-07
Human Oversight & Guardrails	Not documented
The platform page describes discovery, structuring and recommendation, and says work is user controlled and reviewed, but no approval gate, review queue or pending action surface for anything an agent does is documented. Much of the site renders client side, so this stays open. First and second level reviewer workflows, notifications and audit logs were part of the ASC 606 contract review application, which Within divested. SourceWithin, within.ai/platformread 2026-09-07
Security, Identity & Governance	Partial
Compliance is documented and strong: SOC 2 Type II audited annually by an independent third party across Security, Availability and Confidentiality, SOC 1 Type II, GDPR and CCPA, with reports available on request from the vendor's infosec address. The access model is not readable: the trust page's headings on access control, data capture, deletion and posture render client side and show no text, and no SSO, SAML, SCIM or named role model appears elsewhere on the site. Workspace level data isolation and customer deletion rights are stated in the page metadata, but they describe isolation and privacy rather than an access model a buyer can see. SourceWithin, within.ai/trustread 2026-09-07
Observability & Auditability	Not documented
Observations are recorded by Companion, and the Company Brain reports counts of observations and connected processes, but that is measurement of the customer's work rather than a record of what an agent did and why. No run log, trace or audit surface over agent execution is documented, though the trust FAQ answers render client side. SourceWithin, within.ai/platformread 2026-09-07
Memory & State Persistence	Not documented
The context graph is a persistent structure over the customer's processes, but deleting it would delete the product's subject matter, which makes it the application's data model rather than a memory layer. No memory with a stated scope and lifetime, per user, per team or per workflow, and no session state carried between runs is documented. SourceWithin, within.ai/platformread 2026-09-07
Deployment & Data Residency	Not documented
No hosting region, customer environment option or selection surface appears on the platform or trust pages, and the trust page's data handling answers render client side with no readable text, so residency is not settled. SourceWithin, within.ai/trustread 2026-09-07
Prebuilt Agents, Templates & Packs	Partial
Advisor packages a customer's own best practice into reusable skills, shown generating a renewal review skill as SKILL.md, playbook.md and checklist.md files that every account team can run, and recommends which skills to build. Those are assets the customer assembles from their own observed processes rather than packaged agents the vendor ships and a buyer adopts as they stand. No catalog, template library or named prebuilt agent set is published. ASC 606, order to cash, accounts payable and SOX solutions came with the old accounting product, which is no longer sold. SourceWithin, within.ai/platformread 2026-09-07
Triggers & Channel Coverage	Not documented
Capture is continuous: Companion observes throughout and the Company Brain reports observations accruing through the day. Continuous observation is not the same as a trigger, though, and no event, schedule, webhook or inbound queue that starts a piece of work appears in the readable text. SourceWithin, within.ai/platformread 2026-09-07
Model Flexibility & Routing	Not documented
The trust page states that neither Within nor its third party AI providers use customer data to train, fine tune or improve models, which confirms outside providers are in use but names none of them, and no customer or admin choice of model or routing is published. Within MCP lets the customer point their own AI platform at Within's context, which runs the opposite direction and is not a model choice for Within's own reasoning. SourceWithin, within.ai/trust and within.ai/platformread 2026-09-07
APIs, SDKs & MCP Extensibility	Partial
Within MCP exposes the live company brain to outside AI tools, with the platform page showing major AI platforms querying it (where can we take 15 percent of cost out, what should agents take over first) and Advisor feeding AI tools live context via MCP, so outside tools call into the platform. No endpoint, authentication scheme or reference is published, and no REST API or SDK is documented. SourceWithin, within.ai/platformread 2026-09-07
Testing, Debugging & Optimization	Not documented
What Advisor measures is the customer's operations: it ranks automation opportunities by return and estimates time saved per process to decide what to automate, which is analysis feeding a roadmap rather than a test of a change to an agent. No harness, scored test cases, release gate or controlled loop over a deployed agent is documented. SourceWithin, within.ai/platformread 2026-09-07
Browser & Computer Use	Not documented
Watching is as close as it comes: Companion observes activity on the customer's machines, with an activity timeline of observed actions and voice, and the trust page's own framing is built to map work, not track workers, with the metadata addressing whether software is installed on employee machines and whether raw screen or audio data is stored. Observation of a screen is not an agent operating one: nothing documents the platform driving a browser, desktop or remote session to do work. The capture mechanism itself is not described. SourceWithin, within.ai/platform and within.ai/trustread 2026-09-07

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Contact for pricing

What is public

Nothing numeric. The site publishes no pricing page and no entry point; every commercial route is a demo booking.

Billing mechanics

Not disclosed. No unit, tier or rate appears on any page read.

Variable cost rationale

Priced against document volume and modules, so cost grows with how many contracts and invoices are processed and how many finance workflows are automated on the platform.

Additional watchouts

Quote only, and the company renamed and divested its accounting product in 2026, so any figure quoted for Klarity priced a different product.

Sales call required

Yes, required for paid access

Free / trial

Book a demo on every route; no free tier or trial published

Lowest paid plan

Not published

Key ambiguities

No rate, unit or tier is published for the current platform.

Missing data

No price, tier, unit or billing basis is published for the Within platform.

Agentic Index verified 2026-09-07

Official pricing page

Related vendors

Alternatives to Within

The closest documented capability profiles to Within among agent infrastructure platforms tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Veecle3.0 / 14Adds documented Observability & Auditability and Deployment & Data Residency, among others
Catalog4.5 / 14Adds documented Integrations & Tool Calling and Human Oversight & Guardrails, among others
Lemrock3.5 / 14Adds documented Integrations & Tool Calling and Human Oversight & Guardrails, among others
Rime3.5 / 14Adds documented Observability & Auditability and Deployment & Data Residency
Speechmatics3.5 / 14Adds documented Observability & Auditability and Deployment & Data Residency
Tavily4.5 / 14Adds documented Integrations & Tool Calling and Observability & Auditability, among others

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Within with other vendors →Compare all agent infrastructure platforms →See where Within ranks →

Data confidence: medium