The Revenue Convergence Platform
Four signal streams, cross-corroborated against each other. Two tell you what's happening now. Two more fire months before your CRM does. Partner-influenced revenue, surfaced and growable on purpose.
The problem isn't data.
It's convergence
Partner-influenced revenue is your fastest-growing pipeline source. It's also the hardest to forecast — because the signals that drive it operate in four places your CRM doesn't capture: the co-sell conversations happening on partner calls, the partner motion patterns in your ecosystem, the intent signals that show where an account is heading, and the financial signals that shape buying context.
Each of these streams is partially captured by something you already have. None of them converge. That gap is the Forecast Delta — and today it's invisible.
Four streams. One convergence layer
Conversation Intelligence
What's said on co-sell calls. Which partners are pushing. Which went quiet at Stage 3.
- Auto-ingested from Zoom, Microsoft Teams, Sembly — no manual logging
- Partner influence, buyer intent, and deal risk classified at conversation level
- Surface co-sell disengagement before it shows up in CRM stage movement
Partner Motions
Deal registration activity, co-sell engagement cadence, activation patterns.
- Ingested from PRM systems and partner activity logs
- Distinguishes "partner attributed" from "partner actively pushing"
- Detects dormancy patterns at the deal and account level
Intent Signals
Where the account is heading — before a deal exists in your CRM.
- Dual-running tech-stack detection — accounts running two competing platforms in parallel (the most common pre-decision indicator)
- Technology stack changes and organizational signals that shift partner-relevant buying timelines
- Surface buying intent months before CRM activity reflects it
Financial Signals
The account's financial health and the buying context it creates.
- Earnings call Q&A extraction — the unscripted Q&A section carries 3-5× more signal than prepared remarks. Cost-pressure language, tech-stack rationalization, and partnership-posture statements precede internal procurement decisions
- Funding + partnership event signals — funding rounds, executive hires, M&A announcements, and competitor-partnership press all shift buying timelines and partner dynamics
- Budget cycle timing and financial indicators that shape buying context
Convergence is the signal
Single-stream tools capture part of the story. Conversation intelligence captures the calls. Account mapping shows who you share customers with. Forecast platforms work from what's already in the CRM. None of them converge.
Signal Convergence is the architecture that cross-corroborates all four streams. The contradictions between them — where conversation intelligence shows active engagement but partner motion signals show dormancy — become the signal. The disagreements are where the growth signal surfaces.
That convergence is what makes a Forecast Delta visible. Without it, the delta exists anyway; you just can't see it until the deal slips.
Most platforms read one source class — overlap, or conversations, or intent. PartnerSignals reads four. A competitor matching this isn't a feature ship — it's a 12-24 month re-architecture, because the data model itself has to be rebuilt for multi-source convergence.
Modeled outputs from a backtesting baseline
Every signal output PartnerSignals surfaces is calibrated against a backtesting baseline — the convergence model run against historical CRM + signal data to validate the pattern. Methodology is documented and inspectable. No black-box scoring.
When you complete an Architecture Assessment, the same model runs against your data. The output you receive is yours, not ours.
The model is replaceable. The intelligence layer is not. Foundation models converge on similar capabilities every release cycle; the signal ontology, the partner-influence scoring, and the validated extraction corpus accumulated through customer engagements are the assets — and they get stronger every quarter.
- Acme Cloud–$680KPartner went quiet · Stage 4
- Northwind Data–$520KConversion score dropped 38%
- Contoso Health–$310KCustomer pre-intent reversal
- Globex Mfg+$140KPartner executive engaged
The disagreement between what the CRM shows and what the converged signal shows is the earliest warning a CRO can get.
Compatibility-first. Not replacement-first
PartnerSignals integrates with the revenue and partner infrastructure you already have. No CRM migration. No PRM replacement. No new rep workflows.
- CRM
- Salesforce, HubSpot, Microsoft Dynamics 365, monday.com
- Meeting Intelligence
- Google Meet, Zoom, Microsoft Teams, Granola, Sembly
- Collaboration
- Slack, Microsoft Teams
- PRM
- Salesforce PRM, Crossbeam, Impartner, Allbound
- Workflow
- Monday.com, Salesforce Flows, HubSpot Workflows
- Deployment
- Cloud · On-Premise · Hybrid · Kubernetes · Red Hat OpenShift
Built for CSOs and regulated environments
No frontier-model training exposure. Meeting content and partner data never feed the training corpus of any external AI model. Inference runs against private model infrastructure under your DPA terms. Contractually committable in the customer agreement.
Security built in, not bolted on
Partner pipeline data is sensitive. PartnerSignals is built on Red Hat OpenShift — the Kubernetes platform that embeds security at every layer of the stack, from immutable base images to zero-trust workload identity.
Encrypted end-to-end
TLS 1.2+ in transit, pgcrypto at rest. Every tenant's data is encrypted with isolated keys — never commingled.
Tenant isolation at the DB layer
Row-Level Security in PostgreSQL means no query can access another tenant's data — even if an application bug exists.
Zero plaintext secrets
Doppler secrets management ensures no API keys or tokens ever appear in codebases, CI logs, or environment variables.
Managed control plane
Red Hat SRE patches and monitors the Kubernetes control plane 24/7. We manage your application layer — not the infrastructure beneath it.
Red Hat OpenShiftThe Kubernetes platform trusted by financial institutions, government agencies, and the Global 2000
OpenShift shifts security from reactive and fragmented to proactive and automated — a unified security platform embedded at every layer of the cloud-native stack. Running on ROSA HCP means the control plane lives in a Red Hat-owned account, managed by Red Hat's SRE team. PartnerSignals focuses on the application layer and your data. Red Hat handles the rest.
See where your program sits
Take the Partner Growth Scorecard
12 questions. About 5 minutes. See where your partner program sits and what's blocking the next level.
Start the Scorecard →Book a 45-minute Executive Briefing
A structured conversation about how partner ecosystem dynamics are influencing your pipeline.
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