Institutional memory for go-to-market agents.
Institutional memory for go-to-market agents.
Institutional memory for go-to-market agents.
Build your revenue engine on a context layer that learns how your company wins deals.
Build your revenue engine on a context layer that learns how your company wins deals.
Your agents have data.
They do not have context.
Your agents have data.
They do not have context.
01
01
Data
Data
When your agents read from systems of record, they rebuild revenue context from scratch. Political risk is missed, the wrong buyer looks like the champion, and the same signals are interpreted differently every time.
When your agents read from systems of record, they rebuild revenue context from scratch. Political risk is missed, the wrong buyer looks like the champion, and the same signals are interpreted differently every time.
02
02
Context
Context
When the same data is pre-processed into a context layer, every agent wakes up to the same revenue reality. Every decision your agents make is grounded in what changed, what matters now, and what has worked before.
When the same data is pre-processed into a context layer, every agent wakes up to the same revenue reality. Every decision your agents make is grounded in what changed, what matters now, and what has worked before.
Context that compounds
with every outcome.
Context that compounds
with every outcome.
01
01
Context
Context
Everboard turns your raw data into live deal signals and predictions.
Everboard turns your raw data into live deal signals and predictions.
> Running temporal analysis...
> Running temporal analysis...
- internal_politics_risk: increasing_steadily
- internal_politics_risk: increasing_steadily
- champion_likelihood: weakening (Anna K)
- champion_likelihood: weakening (Anna K)
- multithreading_strength: still_weak
- multithreading_strength: still_weak
> Running prediction models...
> Running prediction models...
- p_no_decision: 58.6%
- p_no_decision: 58.6%
- p_forecast_win: 18.7%
- p_forecast_win: 18.7%
02
02
Action
Action
Your agents use Everboard’s context to decide what to do next.
Your agents use Everboard’s context to decide what to do next.
> Fetching deal context: Ramp ($90K)...
> Fetching deal context: Ramp ($90K)...
- internal_politics_risk: increasing_steadily
- internal_politics_risk: increasing_steadily
- p_no_decision: 58.6%
- p_no_decision: 58.6%
- missing_actions: engage_economic_buyer, build_business_case
- top_actions: thread_economic_buyer, coauthor_business_case
- missing_actions: engage_economic_buyer, build_business_case
> Recommending next moves...
> Recommending next moves...
- Create direct access to Damien H before finance gets involved
- Create direct access to Damien H before finance gets involved
- Co-author business case with Priya M and Anna K
- Co-author business case with Priya M and Anna K
04
04
Learning
Learning
Everboard turns every outcome into better context for your agents.
Everboard turns every outcome into better context for your agents.
> Updating training data...
> Updating training data...
- internal_politics_risk: increasing_steadily
- internal_politics_risk: increasing_steadily
- thread_economic_buyer: not_observed
- thread_economic_buyer: not_observed
- outcome: no_decision
- outcome: no_decision
> Running nightly retraining...
> Running nightly retraining...
- no_decision: complete
- no_decision: complete
- forecast_win: complete
- forecast_win: complete
03
03
Outcome
Outcome
Everboard connects your team’s actions to wins, stalls, and losses.
Everboard connects your team’s actions to wins, stalls, and losses.
> Observing actions...
> Observing actions...
- sources: 3 meetings, 2 transcripts, 7 emails
- sources: 3 meetings, 2 transcripts, 7 emails
- observed: build_business_case
- observed: build_business_case
- not_observed: engage_economic_buyer
- not_observed: engage_economic_buyer
- not_observed: engage_economic_buyer
> Observing outcome...
> Observing outcome...
- close_date: 30 June
- close_date: 30 June
- outcome: no_decision
- outcome: no_decision
One layer.
Every agent.
One layer.
Every agent.
01
01
Connect your systems
Connect your systems
Everboard creates a unified context layer above your existing revenue stack.
Everboard creates a unified context layer above your existing revenue stack.
02
02
Connect your agents
Connect your agents
Use Everboard’s REST API or MCP server to embed context into any agent.
Use Everboard’s REST API or MCP server to embed context into any agent.
FAQs
FAQs
> What data do you need access to?
> What data do you need access to?
CRM records, calendar events, emails, call transcripts, and notes across all your deals past and present.
CRM records, calendar events, emails, call transcripts, and notes across all your deals past and present.
> How long before the context is useful?
> How long before the context is useful?
Everboard processes all your historical data on day one. Context on your live pipeline is immediately useful.
Everboard processes all your historical data on day one. Context on your live pipeline is immediately useful.
> How does the system learn exactly?
> How does the system learn exactly?
Everboard continuously trains private models on your signals, actions, and outcomes to help your agents make better decisions.
Everboard continuously trains private models on your signals, actions, and outcomes to help your agents make better decisions.
> How is my data stored and protected?
> How is my data stored and protected?
Everboard is built securely on SOC 2 Type II and ISO 27001 certified providers. Data is encrypted in transit and at rest.
Everboard is built securely on SOC 2 Type II and ISO 27001 certified providers. Data is encrypted in transit and at rest.
> How do my agents access the context?
> How do my agents access the context?
Over API or MCP. Connect to Everboard using any agent platform or surface, from n8n to Claude Code.
Over API or MCP. Connect to Everboard using any agent platform or surface, from n8n to Claude Code.
> Do you train a universal model on my data?
> Do you train a universal model on my data?
No. Your data is isolated and we have zero-retention agreements with model providers.
No. Your data is isolated and we have zero-retention agreements with model providers.
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