Decispher

Decispher provides AI-powered tools that capture and apply the engineering context, team decisions, and working preferences automatically from existing communication and code review tools. It offers three standalone products—Context Engine, Memory, and Worker—that help teams reduce repetitive explanations, maintain up-to-date decision records, and automate engineering tasks with context-aware AI agents. This improves code quality, reduces review times, and preserves institutional knowledge without changing existing workflows.

Who is it for?

engineering teams and software developers using AI coding tools

Problem

AI coding agents lack the context of team decisions and working preferences, causing repeated explanations, inconsistent code changes, and longer review times. Teams also struggle to maintain up-to-date documentation of engineering decisions.

Solution

Decispher automatically extracts structured decisions, conventions, constraints, and rationale from Slack, GitHub, Jira, and other tools, and serves this context live to AI agents and engineers. It remembers individual and project preferences and can autonomously perform engineering tasks with context-aware AI agents.

What makes it unique

• Automatically captures engineering decisions from existing tools without manual documentation
• Serves structured context live to AI agents and engineers to prevent repeated explanations
• Offers three standalone products that integrate seamlessly and compound value when combined
• Open source enforcement layer (Decision Guardian) ensures pull requests comply with recorded decisions

• Context Engine

  Captures and fuses engineering decisions, conventions, and constraints from Slack, GitHub, Jira, and other tools into structured context files and live endpoints.

  01
• Memory

  Remembers durable working preferences scoped to individuals, projects, and companies, injected into AI agent prompts before each session.

  02
• Worker

  An autonomous AI engineer that performs engineering tasks in a sandboxed environment, briefed from the Context Engine and Memory, and opens draft pull requests with receipts.

  03
• Multi-source fusion

  Combines multiple independent sources of decisions to increase confidence and reduce conflicts.

  04
• Decision Guardian

  Open source enforcement layer that blocks pull requests contradicting recorded decisions, integrated into CI pipelines.

  05
• Credit-based pricing

  Metered usage pricing based on credits consumed per decision captured, query, or AI agent run, not per seat.

  06
• Integrations

  Connects to Slack, GitHub, Jira, Claude Code, Cursor, Codex, and other AI coding tools supporting the Model Context Protocol.

  07
• Security and privacy

  Encrypts context units at rest per company, never stores raw source code except in isolated Worker runs, and supports enterprise compliance.

  08

Business model

SAAS

Audience

B2B

Platforms

web · api

Pricing model

subscription

Value proposition

Decispher wires your team’s judgment into every AI coding agent by capturing and serving the decisions behind your codebase and the way each engineer works.

Metadata

OOpen Graph

Other

CloudflareReact

Protocol

HHTTP/3

RUM

CCloudflare Browser Insights

UI framework

Tailwind CSS3.4.19Radix UI

UI library

shadcn/ui

Web framework

Next.js