What Rice does

Rice is an AI-native context orchestration platform that builds 'AI shadows' for teams, capturing and structuring organisational knowledge so that AI agents and team members can recall past decisions, conversations, and rationale. The core technology is a temporal knowledge graph that tracks how information evolves over time — including decision changes, contradiction resolution, and priority shifts — rather than capturing knowledge at a single point in time like traditional knowledge bases. The platform integrates natively with Slack, Jira, GitHub, and Calendar, and is complemented by a proprietary desktop application that captures additional context locally with end-to-end encryption and anonymised structured data transmission.

The product surfaces relevant context proactively based on user activity (for example, when drafting emails, working on Jira tickets, or preparing for meetings), without requiring teams to manually maintain documentation. The November 2025 release added voice-first interaction as a primary modality, multi-display support, and a 60% performance improvement. Pricing is not publicly disclosed and the company runs enterprise pilot programmes with committed success metrics, using a 'book a demo' direct sales approach.

Rice is headquartered in San Francisco, targets technology companies and professional services firms with 100 to 1,000 employees, and operates with a 1-10 person team. The company was supported by Techstars with a $120,000 round and is led by co-founder and CEO Anil Peri.

Name

Rice

Website

https://tryrice.com

Company type

Private

Founded year

2025

Operating status

Operating

Headcount range

1–10 employees

Short description

Rice is an AI-native context orchestration platform that builds temporal knowledge graphs and 'AI shadows' to capture organisational memory across Slack, Jira, GitHub, and Calendar for technology and professional services firms with 100 to 1,000 employees.

Ownership category

akta.pro rank

Product category

AI Context Orchestration Software

NAICS

Computer Systems Design and Related Services (54151)

SIC

Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)

akta.pro secondary industries

Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL)

Keywords

• Context orchestration
• Knowledge management
• AI memory layer
• Organizational intelligence
• Agent infrastructure

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. SaaS Subscription: Rice operates as a SaaS platform providing AI-powered context orchestration. The company runs pilot programmes with success metrics, suggesting an enterprise subscription model with usage-based value demonstration.

Pricing tiers

Go-to-market motion1 record

Distribution channels1 record

Marketing channels4 records

Core offering

Rice is a context orchestration platform for AI agents that creates "AI shadows" for team members and builds a temporal knowledge graph capturing organizational context from integrated tools such as Slack, Jira, GitHub, and Calendar. The platform automatically captures decisions, feedback, and reasoning as work happens, then surfaces relevant context proactively to AI agents and team members without requiring manual documentation. A companion desktop app provides additional local context capture with end-to-end encryption and privacy controls.

Product overview

Rice is a unified context orchestration platform for AI agents that provides a core product plus a companion desktop application. The main platform creates AI shadows for teams and builds a temporal knowledge graph, while the proprietary desktop app captures additional local context with enhanced privacy controls. Rice sits on top of existing tools (Slack, Jira, GitHub, Calendar) to connect context between them without requiring workflow changes.

Differentiator

Problem solved

Functional benefit

Products and services

• Rice
• Rice Desktop App

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration5 records

AI capability5 records

Feature6 records

Scale indicators1 record

Recent moves5 records

Expansion highlights4 records

Direct peers

• Glean: Glean is an enterprise AI search and knowledge platform that surfaces context across Slack, Jira, GitHub, and other work tools. It is the closest direct competitor to Rice's context orchestration thesis, operating at a similar layer above existing SaaS applications.
• Hebbia: Hebbia is an AI knowledge worker that ingests enterprise documents and surfaces structured context for analysts and operators. It overlaps with Rice's enterprise context orchestration positioning, particularly for professional services and financial workflows.
• Mem: Mem is an AI-powered note-taking and memory platform that organises personal and team knowledge automatically. It shares Rice's core thesis of AI-curated organisational memory, though it focuses more on individual knowledge workers than enterprise agent infrastructure.
• Sana Labs: Sana is an AI knowledge platform that learns from workplace activity and delivers personalised search and agents. It competes directly with Rice for the enterprise organisational memory use case with a similar enterprise subscription model.

Broad incumbents

• Atlassian Rovo: Atlassian Rovo is an AI teammate embedded across Jira, Confluence, and the Atlassian suite, with deep context retrieval from work artefacts. It represents the most direct incumbent threat because it sits inside the same Jira/GitHub surfaces Rice integrates with.
• Notion: Notion is a broad work and knowledge management platform with Notion AI for context capture and Q&A across documents. It competes for the same buyer use case (organisational memory) but as a general-purpose workspace rather than a dedicated agent context layer.
• Coda: Coda is a collaborative workspace with AI features that consolidate organisational knowledge and automate workflows. It addresses overlapping customer pain points around fragmented context, though as a broader productivity suite rather than a dedicated memory layer.
• Slack (Salesforce): Slack is both an integration source for Rice and a potential competitor as Salesforce embeds AI search and agent capabilities directly into the platform. Its ownership of conversational data makes it a structural risk to Rice's data acquisition model.

Emerging players

• Mem.ai (Xembly): Xembly is an AI executive assistant that captures meeting and work context to surface summaries and follow-ups. It intersects with Rice on proactive context surfacing, particularly around calendar and meeting workflows.
• Reworkd: Reworkd builds AI agents focused on web-scale task automation and context gathering. It overlaps with Rice's agent infrastructure thesis from the consumer-agent side rather than enterprise organisational memory.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/tryricehq
• LinkedInlinkedin.com/company/tryrice

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Rice