ReACT (Reasoning and Action) makes GTM self-aware: a system that thinks, reasons, and acts across the entire revenue lifecycle.
Humans build relationships. Bruce does the rest.
Watch how Bruce autonomously handles the full GTM lifecycle with domain expertise
Measurable results from day one. Here's what enterprise sales leaders report in their first month with Bruce.
Increase in Sales Capacity
Without scaling your team
Target Accounts Researched
Deeply researched before first contact
Personalized Motion
No templates, no sequences
Deal Execution
Not days—deals executed in minutes
Selling Hours Returned
Returned to your team for relationship building
Pipeline Reactivated
Stalled enterprise deals brought back to life
Better context and timing from Bruce's autonomous research and execution drive measurable improvements in win rates within the first 30 days.
Ask anything about your revenue motion
What's our Q4 forecast looking like? Show me the key risks and opportunities.
Based on real-time analysis of your pipeline, here's your Q4 forecast:
Bruce runs the system. Humans lead the relationships.
| Stage | Bruce | Human | Description |
|---|---|---|---|
| Prospecting | 100% | 0% | Identify and rank accounts and buyers |
| Outreach & Engagement | 100% | 0% | Launch persona-aware, context-rich conversations |
| Discovery & Qualification | 85% | 15% | Surface pain, context, and intent |
| Evaluation & Proof of Value | 80% | 20% | Manage trials, objections, and acceleration |
| Deal Closing | 60% | 40% | Negotiate and finalize |
| Onboarding & Handoff | 80% | 20% | Ensure smooth transition to success |
| Retention & Expansion | 90% | 10% | Identify growth and renewal opportunities |
| Continuous Learning | 95% | 5% | Make the motion smarter every cycle |
Bruce delivers autonomous intelligence across every stage of your revenue motion. Explore how each solution transforms your GTM.
View All SolutionsScale outbound with autonomous intelligence that works alongside your team
Outbound breaks because SDRs take months to ramp, sequences are generic and ignored, and context is lost between SDR → AE handoffs.
Turn MEDDPICC into a real forecast signal
MEDDPICC lives in rep notes, ROI is hand-waved, and leadership forecasts on intuition. CRMs record data but do not reason about deal quality.
Answer any Rev Ops question with real-time Python code
Rev Ops teams spend days building SQL queries, Excel models, and Python scripts to answer forecasting and pipeline questions. By the time analysis is ready, the data is stale.
Draft proposals, MSAs, and RFPs using real deal context
Sellers rewrite the same narratives, RFPs drain SE time, and proposals miss deal-specific nuance.
Win deals by exploiting real incumbent weaknesses
Battlecards are generic, timing is missed, and incumbent risk is discovered too late. Static enablement does not win dynamic deals.
Recover revenue from dead and stalled deals
CRMs are full of stalled opps, cold trials, and ignored inbound. Re-engagement usually becomes spam.
Grow accounts by persona and usage
Expansion is inconsistent because usage does not equal narrative, personas buy differently, and plays are uncoordinated.
Produce EBRs that tell a coherent account story
EBRs fail because data is fragmented, narratives are rushed, and expansion signals are missed.
Built for regulated, enterprise environments.
All customer data is fully isolated with logical and physical separation. Data is never used for model training.
Neuro-symbolic architecture invokes APIs in real-time, eliminating data warehousing and reducing data residency concerns.
Every Bruce action is fully auditable via real-time audit logs for complete compliance visibility.
Third-party attested controls for security, availability, and confidentiality. Healthcare-ready for PHI.
Security reports and documentation: security.egi.sh
Questions? ops@egi.sh
Neuro-Symbolic execution: Bruce understands natural language, translates it to precise Python code using CodeGen for accuracy, and executes sales tasks and Rev Ops analysis automatically
prospects = find_companies(
industry="healthcare",
funding_stage="Series B",
hiring_signals=["security engineer"]
)
for prospect in prospects:
enrich_contact_data(prospect)
create_crm_lead(
account=prospect.name,
contacts=prospect.decision_makers,
intent_score=prospect.buying_signals
)Bruce's neural layer understands your natural language request—extracting intent, context, and requirements. Then, its symbolic layer translates that understanding into precise Python code using CodeGen for accuracy, executing any sales task or Rev Ops analysis. Whether it's prospecting, outreach, call preparation, deal management, renewal tracking, forecasting, or pipeline analysis—you can ask Bruce anything in plain English, and it automatically generates real-time Python code and executes the task—no manual scripting required.
Powered by Leading Models
Bruce is a collection of task-specific micro agents. EGI continuously benchmarks the latest models from leading providers to select the optimal LLM and voice model for each task.
Bruce collaborates at every stage of the revenue motion—from prospecting to retention
Identify and rank accounts and buyers
Humans pull lists manually from clunky workflows. Enrichment is elementary, intent data anemic. Contact decay: 40% per month.
Autonomously discovers and ranks accounts using live buying signals: exec changes, funding, growth, job posts, usage trends, and traffic shifts.
Results: Sourcing time ↓ 90%. Top-of-funnel volume ↑ 2–3×
Built for the complexity and scale of enterprise revenue motion
For revenue teams who compete on precision, not volume.
Enterprise POCs are won or lost on execution details. Bruce ensures every technical requirement is met, every compliance question answered instantly, and every stakeholder concern addressed—no missed steps, no dropped threads.
Enterprise deals span months or years with multiple stakeholders, shifting priorities, and evolving requirements. Bruce maintains perfect context across every interaction, stakeholder, and buying signal—ensuring nothing falls through the cracks.
Enterprise relationships compound over years. Bruce tracks usage patterns, identifies expansion signals, and drafts renewal proposals automatically—turning every customer into a multi-year revenue stream with minimal manual effort.
Bruce works seamlessly with the tools your team already uses
Need a custom integration?
Contact us to discuss API accessBruce operates as your exclusive autonomous closer—fully isolated, fully auditable, designed to give you the edge in competitive markets
Every customer instance is fully isolated. Your data, your playbooks, your competitive intelligence—completely private.
Bruce learns from your deals, your messaging, your wins. That intelligence never leaves your instance.
Every action, every decision, every data access is logged. Complete transparency for security and compliance reviews.
Complex technical sales with compliance requirements, security reviews, and multi-stakeholder evaluations. Bruce understands SOC2, HIPAA, and regulatory nuance.
Long sales cycles with technical POCs, integration requirements, and expansion opportunities. Bruce maintains context across months-long deals.
Autonomous sales and operations agent for distribution companies. Reads ERP data, prioritizes accounts, drives SKU expansion, and executes inside sales work.
The operating command for brick-and-mortar retail. Bruce unifies data across POS, inventory, labor, and customer systems, then executes store-level actions and reactivation.
Everything you need to know about Bruce
Learn more about how Bruce works
ReACT makes your GTM self-aware: a system that thinks, reasons, and acts across the entire revenue lifecycle.
Humans build relationships. Bruce does the rest.
See results in 30 days: up to 7× sales capacity increase, 100% personalized motion, and millions in pipeline reactivation.