The Operating Systemfor OrganizationalContext

Context Spine helps you keep track of what's happening, why it matters, and how it's changing so you can act with understanding instead of guesswork.

Platform Features

Everything you need for
organizational intelligence

A complete platform for capturing, deriving, and acting on organizational context. Built for scale, designed for insight.

Unified Event Ledger

Single source of truth for all organizational events. Immutable, append-only records with complete audit trails and bitemporal timestamps.

Immutable append-only architecture
Bitemporal timestamps for causality
Hot/warm/cold classification
Full provenance tracking

AI-Powered Assertions

Derive situational truths from events with confidence scores, lifecycle management, and automatic decay policies.

Confidence-scored assertions
Automatic contradiction detection
Configurable decay policies
LLM-powered insight generation

Entity Resolution

Cross-system identity management that unifies the same person, project, or concept across all your tools.

Automatic entity deduplication
Cross-tool identity linking
Relationship graph building
Alias and variant handling

Semantic Search

Vector embeddings enable semantic similarity search across your entire context corpus. Find what you mean, not just what you type.

Natural language queries
Semantic similarity matching
Context-aware results
Real-time indexing

Bitemporal Tracking

Know both when events happened and when you learned about them. Critical for compliance, auditing, and understanding causality.

Event time vs. record time
Point-in-time queries
Historical reconstruction
Compliance-ready audit trails

Real-time Processing

Event streaming for instant updates. Hot, warm, and cold classification ensures intelligent data management at scale.

Sub-second event processing
Streaming data pipelines
Intelligent tiering
Automatic archival policies

Complete Lineage

Every assertion traces back to source events with full provenance. Debug, audit, and verify with confidence.

Source event attribution
Transformation tracking
Dependency graphs
Impact analysis

Enterprise Security

Multi-tenant isolation, RBAC, API key management, and complete audit logging out of the box.

Multi-tenant data isolation
Role-based access control
API key management
SOC 2 compliance ready
Platform Features

Everything you need for
organizational intelligence

Transform siloed data into unified, actionable intelligence. Real-time event tracking, AI-powered insights, and complete audit trails for modern organizations.

Data ingestion from everywhere

Nerves

Nerves are your data pipelines. They continuously pull information from GitHub, HackerNews, Reddit, finance feeds, weather APIs, and more. Each nerve runs independently, transforming raw data into structured events.

Monitor competitor GitHub activity and open source contributions
Track mentions of your brand across Reddit communities
Aggregate financial signals from multiple market feeds
Ingest internal tool data via webhooks
12
Running
0
Errors
737K
Events
GitHub Public
github-nerve
running
124,847 events
healthyJust now
Hacker News
hackernews-nerve
running
89,234 events
healthy2s ago
Reddit
reddit-nerve
running
45,123 events
healthy5s ago
LinkedIn
linkedin-nerve
running
12,890 events
healthy3s ago
Finance
finance-nerve
running
234,567 events
healthy1s ago
Weather
weather-nerve
running
12,345 events
healthy10s ago
Wikipedia
wikipedia-nerve
running
67,890 events
healthy3s ago
StackExchange
stackexchange-nerve
running
34,567 events
healthy15s ago
Lobsters
lobsters-nerve
running
8,901 events
healthy8s ago
Earthquakes
earthquake-nerve
running
5,678 events
healthy30s ago
ArXiv
arxiv-nerve
running
23,456 events
healthy12s ago
CoinGecko
crypto-nerve
running
78,234 events
healthy4s ago
GitHub Public
github-nerve
running
124,847 events
healthyJust now
Hacker News
hackernews-nerve
running
89,234 events
healthy2s ago
Reddit
reddit-nerve
running
45,123 events
healthy5s ago
LinkedIn
linkedin-nerve
running
12,890 events
healthy3s ago
Finance
finance-nerve
running
234,567 events
healthy1s ago
Weather
weather-nerve
running
12,345 events
healthy10s ago
Wikipedia
wikipedia-nerve
running
67,890 events
healthy3s ago
StackExchange
stackexchange-nerve
running
34,567 events
healthy15s ago
Lobsters
lobsters-nerve
running
8,901 events
healthy8s ago
Earthquakes
earthquake-nerve
running
5,678 events
healthy30s ago
ArXiv
arxiv-nerve
running
23,456 events
healthy12s ago
CoinGecko
crypto-nerve
running
78,234 events
healthy4s ago
2.4M
Total
847
Hot
12.4K
Warm
2.4M
Cold
github:pushhot

feat: Add real-time event streaming

GitHub Public
contextspine/api2s ago
hackernews:storyhot

Show HN: Context Spine - Unified organizational intelligence

Hacker News
5s ago
reddit:postwarm

Best practices for event-driven architecture?

Reddit
r/programming12s ago
finance:pricecold

AAPL: $198.45 (+1.2%)

Finance
Apple Inc15s ago
weather:updatecold

San Francisco: 62°F, Partly Cloudy

Weather
20s ago
github:issuewarm

bug: Memory leak in event processor

GitHub Public
contextspine/core25s ago
linkedin:postwarm

Excited to announce our Series A funding!

LinkedIn
Acme Corp30s ago
hackernews:commentcold

This reminds me of Apache Kafka but for...

Hacker News
35s ago
earthquake:alerthot

M4.2 earthquake near Los Angeles, CA

Earthquakes
40s ago
arxiv:papercold

Attention Is All You Need: A Survey

ArXiv
45s ago
github:pushhot

feat: Add real-time event streaming

GitHub Public
contextspine/api2s ago
hackernews:storyhot

Show HN: Context Spine - Unified organizational intelligence

Hacker News
5s ago
reddit:postwarm

Best practices for event-driven architecture?

Reddit
r/programming12s ago
finance:pricecold

AAPL: $198.45 (+1.2%)

Finance
Apple Inc15s ago
weather:updatecold

San Francisco: 62°F, Partly Cloudy

Weather
20s ago
github:issuewarm

bug: Memory leak in event processor

GitHub Public
contextspine/core25s ago
linkedin:postwarm

Excited to announce our Series A funding!

LinkedIn
Acme Corp30s ago
hackernews:commentcold

This reminds me of Apache Kafka but for...

Hacker News
35s ago
earthquake:alerthot

M4.2 earthquake near Los Angeles, CA

Earthquakes
40s ago
arxiv:papercold

Attention Is All You Need: A Survey

ArXiv
45s ago
Immutable record of everything

Events

Every piece of data becomes an event with bitemporal timestamps: when it happened and when you learned about it. Events are classified as hot, warm, or cold based on recency and relevance. Nothing is ever lost or overwritten.

Audit trail for compliance and regulatory requirements
Reconstruct the state of any system at any point in time
Track causality chains across distributed systems
Debug issues by replaying event sequences
Unified identity across systems

Entities

The same person, project, or concept exists in dozens of tools under different names. Entities resolve these identities, linking @john.doe on Slack to John Doe in Jira to jdoe on GitHub. One unified view.

See all activity for a person across every connected system
Track a project's lifecycle from ideation to deployment
Identify duplicate customers across CRM and support tools
Map organizational relationships and influence networks
3,291
Entities
847
Active
12
Types
SC
Sarah Chenperson
GitHub: @schenSlack: sarah.chen+1
1,247 events
AC
Acme Corporationorganization
HubSpot: acme-corpSlack: #acme
892 events
c
contextspine/apirepository
GitHub: contextspine/api
3,421 events
PP
Project Phoenixproject
Jira: PHOENIXSlack: #phoenix
567 events
AS
Authentication Serviceservice
GitHub: auth-serviceDataDog: auth
2,103 events
QP
Q4 Product Launchinitiative
Jira: Q4-LAUNCHNotion: q4-launch
234 events
JM
John Martinezperson
GitHub: @jmartinezSlack: john.m
876 events
PG
Payment Gatewayservice
Stripe: pay-gwDataDog: payments
1,567 events
SC
Sarah Chenperson
GitHub: @schenSlack: sarah.chen+1
1,247 events
AC
Acme Corporationorganization
HubSpot: acme-corpSlack: #acme
892 events
c
contextspine/apirepository
GitHub: contextspine/api
3,421 events
PP
Project Phoenixproject
Jira: PHOENIXSlack: #phoenix
567 events
AS
Authentication Serviceservice
GitHub: auth-serviceDataDog: auth
2,103 events
QP
Q4 Product Launchinitiative
Jira: Q4-LAUNCHNotion: q4-launch
234 events
JM
John Martinezperson
GitHub: @jmartinezSlack: john.m
876 events
PG
Payment Gatewayservice
Stripe: pay-gwDataDog: payments
1,567 events
1,247
Active
78%
Avg Conf
12
Conflicts
87conf

"Project Phoenix is at risk of missing Q4 deadline"

risk23 events rising
94conf

"Sarah Chen is the primary expert on payment systems"

expertise156 events stable
72conf

"Customer Acme Corp shows early churn signals"

churn8 events rising
81conf

"Auth service has recurring memory leak issues"

technical34 events stable
65conf

"Q3 revenue target will likely be exceeded"

business12 events falling⏳ decaying
91conf

"Mobile app performance degraded after v2.4 release"

technical67 events stable
58conf

"Engineering team morale is declining"

culture15 events falling⏳ decaying
76conf

"Competitor X launching similar feature next month"

competitive5 events rising
87conf

"Project Phoenix is at risk of missing Q4 deadline"

risk23 events rising
94conf

"Sarah Chen is the primary expert on payment systems"

expertise156 events stable
72conf

"Customer Acme Corp shows early churn signals"

churn8 events rising
81conf

"Auth service has recurring memory leak issues"

technical34 events stable
65conf

"Q3 revenue target will likely be exceeded"

business12 events falling⏳ decaying
91conf

"Mobile app performance degraded after v2.4 release"

technical67 events stable
58conf

"Engineering team morale is declining"

culture15 events falling⏳ decaying
76conf

"Competitor X launching similar feature next month"

competitive5 events rising
AI-derived insights with confidence

Assertions

Assertions are derived truths extracted from events. Each assertion carries a confidence score, tracks its supporting evidence, and decays over time if not reinforced. Contradictions are automatically detected.

"Project Alpha is at risk" with 87% confidence from 23 events
"Customer Acme shows churn signals": detect before it's too late
"Sarah is the team's deployment expert" based on actual patterns
Automatic alerts when assertions contradict each other
Semantic search across everything

Embeddings

Every event and assertion is embedded into vector space. Search by meaning, not just keywords. Find related concepts, similar issues, and patterns that text search would miss entirely.

Find all discussions about 'performance issues' however they're phrased
Discover similar past incidents when debugging new ones
Surface related documentation and context automatically
Cluster topics to identify emerging themes
performance issuessemantic
Performance234
Security156
Features892
Infrastructure345
94match

API response times increased 3x after deployment

GitHub Issue #2847issue
91match

Users reporting slow page loads on dashboard

Slack #supportmessage
87match

Database query optimization needed for reports

Jira PERF-234ticket
84match

Memory usage spikes during peak hours

DataDog Alertalert
81match

Consider implementing caching layer for API

Confluence RFCdoc
78match

Load balancer showing uneven distribution

AWS CloudWatchmetric
94match

API response times increased 3x after deployment

GitHub Issue #2847issue
91match

Users reporting slow page loads on dashboard

Slack #supportmessage
87match

Database query optimization needed for reports

Jira PERF-234ticket
84match

Memory usage spikes during peak hours

DataDog Alertalert
81match

Consider implementing caching layer for API

Confluence RFCdoc
78match

Load balancer showing uneven distribution

AWS CloudWatchmetric
Ask Context Spine
Querying 2.4M events
What are the biggest risks to our Q4 roadmap?

Based on 47 events and 12 assertions, I've identified 3 primary risks: 1. Project Phoenix timeline at 87% confidence will miss deadline based on velocity trends 2. Auth service stability: Recurring memory leaks affecting 3 dependent services 3. Key person dependency: Sarah Chen is sole expert on payment systems

GitHub: 23 commitsJira: 15 ticketsSlack: 9 threads
84% confidence • synthesized from 3 sources
Who else has context on payment systems?

While Sarah Chen is the primary expert (156 events), I found 2 others with relevant context: • John Martinez: 34 events, mostly code reviews on payment PRs • Payment Gateway service: 1,567 events, well-documented API

GitHub: 34 PRsConfluence: 8 docsSlack: 12 mentions
71% confidence • synthesized from 3 sources
What are the biggest risks to our Q4 roadmap?

Based on 47 events and 12 assertions, I've identified 3 primary risks: 1. Project Phoenix timeline at 87% confidence will miss deadline based on velocity trends 2. Auth service stability: Recurring memory leaks affecting 3 dependent services 3. Key person dependency: Sarah Chen is sole expert on payment systems

GitHub: 23 commitsJira: 15 ticketsSlack: 9 threads
84% confidence • synthesized from 3 sources
Who else has context on payment systems?

While Sarah Chen is the primary expert (156 events), I found 2 others with relevant context: • John Martinez: 34 events, mostly code reviews on payment PRs • Payment Gateway service: 1,567 events, well-documented API

GitHub: 34 PRsConfluence: 8 docsSlack: 12 mentions
71% confidence • synthesized from 3 sources
Ask anything about your organization...
Natural language queries over your data

Ask

Ask questions in plain English. The AI queries across events, entities, and assertions to synthesize answers. See the reasoning process, the sources used, and export conversations for sharing.

"What are the biggest risks to our Q4 roadmap?"
"Who has context on the payment system refactor?"
"Show me everything related to customer Acme Corp"
"What changed in production last Friday afternoon?"
Real-time situational awareness

Radar

A live visualization of your event stream. New events appear at the outer edge and drift toward the center as they age. Size indicates priority, with hot events appearing larger. Filter by source, priority, or time window.

Watch production deployments ripple through your systems
Spot unusual activity patterns at a glance
Monitor multiple data sources on a single screen
Optional voice announcements for critical events
Live Radar
Hot Warm Cold
247
Events/min
12
Hot
5
Sources
Tracked Brands
3 alerts
24
Brands
68%
Avg Sent
2.6K
Signals
AC
Acme Corp
competitor
72
sentiment
234 signals up
PP
Project Phoenix
internal
45
sentiment
89 signals down
R1
React 19
technology
91
sentiment
567 signals up
AO
AWS Outage
topic
23
sentiment
1,204 signals down
SB
Series B Funding
internal
88
sentiment
45 signals up
SA
Stripe API
dependency
67
sentiment
123 signals stable
T
TechCrunch
media
78
sentiment
312 signals up
CC
Customer Churn
topic
34
sentiment
67 signals down
AC
Acme Corp
competitor
72
sentiment
234 signals up
PP
Project Phoenix
internal
45
sentiment
89 signals down
R1
React 19
technology
91
sentiment
567 signals up
AO
AWS Outage
topic
23
sentiment
1,204 signals down
SB
Series B Funding
internal
88
sentiment
45 signals up
SA
Stripe API
dependency
67
sentiment
123 signals stable
T
TechCrunch
media
78
sentiment
312 signals up
CC
Customer Churn
topic
34
sentiment
67 signals down
Track what matters to you

Brands

Define the brands, products, competitors, or topics you care about. Brands aggregate signals from across all your nerves, scoring and alerting on relevance. Build custom views for different stakeholders.

Monitor competitor product launches and pricing changes
Track brand sentiment across social platforms
Alert on negative mentions before they escalate
Aggregate industry news and trends for leadership
Deep exploration of specific sources

Diver

Sometimes you need to go deep. Diver provides specialized interfaces for exploring Reddit sentiment, GitHub repository insights, and HackerNews technology trends. Purpose-built tools for focused analysis.

Analyze Reddit community sentiment around your product launch
Track GitHub stars, forks, and contributor growth over time
Identify trending technologies on HackerNews before they peak
Deep-dive into specific communities and conversations
12
Subreddits
74%
Sentiment
+38/hr
Growth

Why we switched to event sourcing

r/programming847💬234+15/hr
hot

Show: Real-time data pipeline architecture

r/devops423💬89+8/hr
warm

Best practices for organizational context

r/startups156💬67+3/hr
warm

We built a unified event ledger

r/webdev312💬145+12/hr
hot

Why we switched to event sourcing

r/programming847💬234+15/hr
hot

Show: Real-time data pipeline architecture

r/devops423💬89+8/hr
warm

Best practices for organizational context

r/startups156💬67+3/hr
warm

We built a unified event ledger

r/webdev312💬145+12/hr
hot
Use Cases

Built for every team
in your organization

From engineering to leadership, Context Spine provides tailored context intelligence for every function.

Engineering Teams

Ship faster with complete engineering context

Understand code changes, track deployments, monitor incidents, and connect technical decisions to business outcomes - all in one place.

Track PRs, commits, and deployments across all repos
Connect incidents to root causes automatically
Understand who worked on what and when
Identify bottlenecks and technical debt
Full audit trail for compliance
40%
Faster incident resolution
3x
Improved deployment confidence
15
Developer hours saved weekly
Integrations

Connect everything
in minutes

21+ pre-built integrations with one-click setup. Plus webhooks and custom scrapers for any data source you can imagine.

Popular
GH

GitHub

Commits, PRs, issues, and more

Available
Popular
SL

Slack

Messages, channels, and reactions

Available
Popular
JR

Jira

Issues, sprints, and workflows

Available
Popular
HS

HubSpot

Contacts, deals, and activities

Available
MS

Microsoft Teams

Chats, meetings, and calls

Available
AS

Asana

Tasks, projects, and portfolios

Available
HN

HackerNews

Tech news and discussions

Available
RD

Reddit

Community discussions and trends

Available
AX

ArXiv

Research papers and preprints

Available
WK

Wikipedia

Knowledge base updates

Available
WE

Weather

Weather conditions and forecasts

Available
FN

Finance

Market data and stock prices

Available
NS

NASA

Space data and imagery

Available
CG

CoinGecko

Cryptocurrency data

Available
SE

Stack Exchange

Q&A and developer discussions

Available
DV

Dev.to

Developer community posts

Available
LB

Lobsters

Tech community links

Available
Popular
WH

Webhooks

Custom HTTP integrations

Available
BS

Browser Scraper

Web content extraction

Available
XK

XKCD

Webcomic updates

Available
EQ

Earthquakes

Seismic activity data

Available

Don't see what you need?

Build custom integrations with our Nerve framework or use webhooks for any HTTP source.

Testimonials

Loved by teams
everywhere

See what teams are saying about how Context Spine transformed their organizational awareness.

3x deployment confidence
"Context Spine transformed how we understand our engineering velocity. We went from guessing to knowing, and our deployment confidence increased 3x."
SC
Sarah C.
VP Engineering, in the SaaS industry
Game-changer for compliance
"The bitemporal tracking is a game-changer for compliance. Our auditors were impressed that we could show exactly when we learned about any event."
MR
Michael R.
Chief Compliance Officer, in the financial services industry
4 enterprise accounts saved
"We discovered customer churn signals weeks earlier than before. Context Spine saved us 4 enterprise accounts in a single quarter."
EW
Emily W.
VP Customer Success, in the e-commerce industry
Single source of truth
"Finally, a single source of truth that actually works. No more context switching between 15 different tools to understand what's happening."
DK
David K.
Director of Operations, in the cloud infrastructure industry
Actionable insights in seconds
"The semantic search is incredibly powerful. I can ask natural language questions and get actionable insights in seconds."
LP
Lisa P.
Product Manager, in the data analytics industry
Setup in less than a day
"Setup took less than a day. Within a week, we had visibility into cross-team dependencies we didn't even know existed."
JM
James M.
CTO, in the healthcare industry
FAQ

Frequently asked
questions

Everything you need to know about Context Spine. Can't find what you're looking for? Reach out to our team.

General

Context Spine is an event-driven platform that provides a canonical, structured layer of context for situational awareness across your tools and time. It unifies data from all your business tools into a single source of truth, enabling you to understand what's happening across your organization in real-time.

While data warehouses focus on historical analytics and batch processing, Context Spine is designed for real-time operational context. It captures events with bitemporal timestamps, derives assertions with confidence scores, and provides semantic search capabilities - all optimized for understanding what's happening now, not just analyzing the past.

No! Context Spine is designed for all teams. Non-technical users can use our visual dashboard, natural language queries, and pre-built integrations. Technical users can leverage our API, custom nerve framework, and advanced querying capabilities.

Data & Security

Context Spine employs enterprise-grade security including encryption at rest and in transit, SOC 2 Type II compliance, RBAC with fine-grained permissions, comprehensive audit logging, and workspace isolation for multi-tenant deployments. We never access your data without explicit permission.

You own your data. Upon cancellation, you have 30 days to export all your events and assertions. After that, we securely delete all your data from our systems. We also provide a self-hosted option for organizations with strict data residency requirements.

Yes! Our Enterprise plan includes a self-hosted deployment option. You can run Context Spine entirely within your own infrastructure, giving you complete control over your data and compliance requirements.

Integrations

Context Spine integrates with 21+ tools including GitHub, Slack, Jira, HubSpot, Microsoft Teams, Asana, and many public data sources like HackerNews, ArXiv, and financial markets. We also support custom webhooks and a browser scraper for any web content.

Absolutely. Our Nerve framework makes it easy to build custom integrations in Python. You can also use our webhook endpoints to receive data from any HTTP source. All integrations follow the same event model for consistent data handling.

Sync frequency depends on the integration. Real-time integrations (webhooks, Slack) provide instant updates. Polling integrations (GitHub, Jira) sync every 1-15 minutes. You can also trigger manual syncs at any time.

Pricing & Support

Context Spine offers flexible enterprise pricing based on your organization's needs. We work with you to understand your requirements and tailor a plan that fits. Contact our sales team for a custom quote.

All customers receive dedicated enterprise support including a dedicated success manager, SLAs tailored to your needs, priority email and phone support, and optional on-call support for critical issues.

Absolutely! We offer personalized demos where our team walks you through Context Spine's capabilities with your specific use cases. We also provide a sandbox environment where you can explore the platform hands-on.

Still have questions?

Our team is here to help. Get in touch and we'll respond within 24 hours.

Ready to get started?

Ready to transform your
organizational context?

Join leading organizations who have unified their context. Our team will guide you through a personalized onboarding experience.

Dedicated support
White-glove onboarding
Enterprise SLA

Rapid Setup

Enterprise security

World-class support