CRM interoperability
Works with Salesforce, HubSpot, or custom CRM via API-first sync. No rip-and-replace migration.
Product
Infrastructure you control. Scoring and orchestration that learn from your data — not a vendor default.
Explainable scoring
Lead scores with factor breakdowns for RevOps audit. Models retrain on your closed-won history.
Regional compliance
GDPR, CAN-SPAM, AU/NZ, GCC, and SL baselines included in every deployment pack.
Competitive landscape (preview)
Full dossiers for all mapped vendors: open complete analysis.
| Company | Region | Strength | Gap |
|---|---|---|---|
| Salesforce | US | Established CRM ecosystem with broad third-party integrations | Vendor lock-in through closed workflows; recurring costs for data access; limited customization for proprietary lead-scoring logic |
| HubSpot | US | Unified marketing, sales, and service platform with intuitive user experience | Rigid template-driven campaign orchestration; opaque lead-scoring models; limited interoperability with legacy systems |
| Microsoft Dynamics 365 | US | Deep integration with Microsoft productivity tools; strong enterprise security | Closed architecture requiring costly customizations; limited adaptability to non-Microsoft ecosystems |
| Oracle Eloqua | US | Robust marketing automation for complex B2B workflows | High implementation complexity; vendor-controlled analytics; poor real-time data synchronization |
| ZoomInfo | US | Comprehensive B2B contact database with enrichment capabilities | Third-party data dependency; lack of first-party workflow integration; compliance risks in government procurement |
| SAP | EU | Enterprise resource planning (ERP) integration with sales operations | Legacy system constraints; rigid workflow configurations; high total cost of ownership |
| NIC Inc. | US | Government procurement platform with public sector compliance frameworks | Limited AI-driven analytics; outdated user interfaces; vendor-controlled data models |
| HighGear | US | Task automation for complex sales cycles | No native AI capabilities; limited interoperability with ERP systems; manual data reconciliation |
| IBM | US | Enterprise-grade AI and analytics infrastructure | Legacy system integration challenges; opaque pricing models; slow adoption of emerging technologies |
| Huddle | UK | Secure collaboration platform for regulated industries | Narrow focus on document sharing; no lead-scoring or campaign orchestration capabilities |
| APS Software | AU | Local CRM solutions tailored to Australian regulatory environments | Limited scalability beyond regional markets; outdated API architecture |
| Datacom | NZ | Government IT services provider with procurement system integration | Legacy system dependencies; minimal AI-driven automation; vendor-managed workflows |
Product specification
Problem
Vendor dependency in revenue operations creates systemic inefficiencies. Existing platforms impose closed ecosystems, forcing organizations to relinquish control over data, workflows, and analytics. This results in three persistent challenges:
- Fragmented data reconciliation: Teams waste resources consolidating data across siloed CRMs, ERPs, and marketing tools.
- Rigid lead-scoring models: Predefined vendor-driven scoring lacks alignment with proprietary business logic, reducing targeting accuracy.
- Template-driven campaign limitations: Fixed orchestration workflows hinder adaptation to complex, high-volume sales cycles or compliance-specific procurement processes.
These constraints erode operational autonomy, inflate costs, and limit long-term adaptability for enterprises and government agencies.
Users
Primary users include:
- Enterprise revenue operations teams: Managing complex B2B sales cycles with multi-system tech stacks.
- Government procurement officers: Executing compliant, transparent RFP processes within legacy IT environments.
- Compliance officers: Ensuring adherence to data sovereignty regulations (e.g., GDPR, FedRAMP).
- IT administrators: Maintaining interoperability across CRM, ERP, and custom procurement systems.
Secondary users include sales leadership, campaign managers, and data governance teams.
Requirements
Functional
- Radical interoperability:
- Harmonize data flows across CRMs (Salesforce, HubSpot, Microsoft Dynamics), ERPs (SAP, Oracle), and government procurement systems (NIC Inc., custom RFP platforms) without data migration.
- Support bi-directional synchronization of contacts, deals, and compliance metadata.
- Adaptive lead-scoring:
- Configure scoring models using proprietary business rules (e.g., deal velocity, contract history, agency-specific prioritization criteria).
- Audit AI-driven scoring logic to trace outcomes to first-party data inputs.
- Flexible campaign orchestration:
- Build custom workflows spanning email, proposal generation, and compliance approvals using modular templates.
- Dynamically adjust campaigns based on real-time pipeline data or regulatory changes.
- Proposal generation:
- Auto-draft proposals aligned with internal pricing frameworks, compliance requirements, and historical win-loss analysis.
- Enable version control and audit trails for government procurement audits.
- Pipeline autonomy:
- Full ownership of data, workflows, and insights with no recurring fees for access.
- Export all system configurations and analytics in open formats (JSON, CSV, SQL).
Non-functional
- Security: Meet SOC 2 Type II, ISO 27001, and FedRAMP Moderate baseline requirements.
- Scalability: Support 10M+ contact records and 100K+ daily API calls with <2s latency.
- Compliance: Enable data residency controls for GDPR, CCPA, and government-specific data handling policies.
- Documentation: Provide API references, system architecture diagrams, and customization guides under a permissive license.
Integrations
- CRM platforms: Salesforce, HubSpot, Microsoft Dynamics, Zoho CRM.
- ERP systems: SAP, Oracle EBS, NetSuite.
- Government procurement tools: NIC Inc., USA.gov RFP APIs, state-specific RFP portals.
- Compliance frameworks: SAML 2.0, OAuth 2.0, LDAP, SCIM.
- Custom solutions: RESTful APIs with webhook support for legacy systems and in-house procurement platforms.
Non-goals
- No ownership or monetization of customer data.
- No recurring fees for data access, analytics, or AI model usage.
- Not a CRM replacement; designed to augment existing systems.
- No third-party data enrichment or external lead databases.
- No forced workflow templates; all configurations must be optional and modular.
- No black-box AI; all scoring logic and proposal recommendations must be auditable and adjustable.