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 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
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×
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.
See how leading companies use Bruce to transform their revenue motion
"Bruce helps us tame highly complex demand-generation workflows in an AI-native way. It connects the dots with deep context and empowers our team to consistently make the right plays."
"Bruce gives sellers leverage. By automating the manual parts of demand generation and deal prep, it frees reps to spend more time in high-value conversations instead of busywork."
"What surprised me most about Bruce is how useful it is before and after calls. Reps can quickly chat with it to understand customer pain points, prepare more effectively, and reflect afterward. This raises the baseline across the team."
"What stood out immediately was that Bruce didn't create more work for my team. Most AI SDR tools turn into another system to learn. Bruce just plugged into how we already operate and actually gave me time back."
"What surprised me most was meeting prep. Reps show up with real context—past conversations, objections, deal history—so calls are tighter and far more relevant."
See how Bruce transforms your revenue motion with autonomous GTM execution
Industry average: 2%. Bruce achieves 12-15%
Everything you need to know about Bruce
Learn more about how Bruce works