# DealMachine integrations that make each prospect count. Canonical: https://hivesilo.com/integrations/dealmachine Reviewed: 2026-10-25 Connection: proposed; scope agreed with the customer. Finding a property is the beginning. Bring your own relationship history and acquisition priorities into the next decision, so your team knows which licensed opportunity deserves a closer look and why. [Contact HiveSilo](https://hivesilo.com/contact?hs_source=dealmachine--hero--contact#contact) [Explore the fit](https://hivesilo.com/integrations/dealmachine#solution) Start with a conversation. No client records needed. Find the opportunity. Choose the next move. [Your client list stays yours.](https://hivesilo.com/integrations/dealmachine#privacy) AI-generated property illustration. [The value](https://hivesilo.com/integrations/dealmachine#solution) [AI control](https://hivesilo.com/integrations/dealmachine#governance) [Your data](https://hivesilo.com/integrations/dealmachine#privacy) [What you could gain](https://hivesilo.com/integrations/dealmachine#results) [Let’s talk](https://hivesilo.com/integrations/dealmachine#fit) [FAQs & evidence](https://hivesilo.com/integrations/dealmachine#evidence) ## A bigger list. A better opportunity? DealMachine helps find and work property prospects. HiveSilo can add the customer-owned context behind the next human action. **What makes a prospect worth another step?** A property may fit a search but already have a current relationship, a recent review or a reason to pause contact. Your team needs that context before spending another data credit or creating another task. A useful shortlist explains what is known, what is current and what still needs verification. DealMachine's current workspace combines search, property and owner research, contact reveals, exports and prospect activity. The proposed HiveSilo layer connects permitted results with your own acquisition history and decision rules. It helps a responsible person prioritize the next review while preserving the source's licensed-use boundaries. ## Prioritize with a reason. Put useful evidence beside every proposed next step. [Talk through your use case](https://hivesilo.com/integrations/dealmachine#fit) **Use what you already know.** Check existing relationships and prior decisions before repeating research. **Spend attention carefully.** Explain the opportunity, uncertainty and information still needed. **Keep contact accountable.** Require a verified owner and permitted channel before action. **See the intelligence behind the next move** ### Prospect context Combine authorized property attributes with customer-owned outcomes and current acquisition criteria. [[D1]](https://hivesilo.com/integrations/dealmachine#source-D1) Useful output: A reasoned property-review queue. ### Rights and freshness Keep the data's source, version and permitted use visible when proposing another read or export. [[D2]](https://hivesilo.com/integrations/dealmachine#source-D2) [[D3]](https://hivesilo.com/integrations/dealmachine#source-D3) Useful output: A bounded request with its purpose and credit implications. ### Human-led follow-through Route an approved task to the acquisition owner after identity and suppression checks. [[D2]](https://hivesilo.com/integrations/dealmachine#source-D2) Useful output: A task that carries the evidence and hold conditions. **Check the relationship before another reveal.** For example, an acquisition team finds a property that meets its search criteria, but its CRM contains a previous conversation for that address. ### Start with DealMachine DealMachine supplies its licensed search and property-research workflow. ### Bring the relevant context together - Permitted property details from the correct DealMachine account generation - Customer-owned conversation outcome and current suppression status - Acquisition criteria and the information needed for the next review ### Make the decision Review the existing relationship first. Request additional licensed data only when it serves an approved next step. ### A useful output A prospect brief explaining the existing history, missing evidence and recommended human review. ### Keep responsibility clear Acquisition manager and the authorized relationship owner. #### Hold and ask Pause contact if ownership is uncertain, permission is missing or the intended reuse exceeds the license. #### Record the outcome Source version, permitted purpose, prior relationship check, reviewer and resulting task. [[D1]](https://hivesilo.com/integrations/dealmachine#source-D1) [[D2]](https://hivesilo.com/integrations/dealmachine#source-D2) [[D3]](https://hivesilo.com/integrations/dealmachine#source-D3) ## Require control before AI acts. A promising property still needs an authorized next action. - 1 ### Request An AI proposes an action - 2 ### Check Policy and authority - 3 ### Approve Named owner, when required - 4 ### Act Within permitted scope - 5 ### Record Keep the action, outcome and accountable owner traceable. Unclear authority? Hold the action. Resolve with the named, authorized owner before proceeding. Controls apply to actions routed through the configured HiveSilo boundary. **Read the governance and escalation requirements** Make accountable authorization a condition of putting AI to work. HiveSilo describes an operating layer that combines buyer intelligence, customer-data privacy and governance. Your deployment should establish the responsible owner and permitted scope before an agent can change records, contact buyers or trigger campaigns. HiveSilo documents policy checks before execution, default denial when authorization is unclear, human checkpoints, scoped stop controls and decision receipts. These controls apply to actions routed through its policy boundary. Keep decisions, required approvals and held actions traceable as the workflow progresses, then record the action, outcome and accountable owner. [[HS6]](https://hivesilo.com/integrations/dealmachine#source-HS6) [[HS7]](https://hivesilo.com/integrations/dealmachine#source-HS7) **Who** Identify the acting agent or person and name the business owner accountable for this workflow. **What** Define the action and permitted data categories before execution. **Where** Specify the approved system, destination and customer custody boundary. **How** Require an approved execution path, access scope and applicable policy checks. **When** Set the permitted conditions and approval validity; recheck authority before a held action resumes. **Why** Record the business purpose and the basis for allowing, denying or holding the action. ### An edge case should stop the affected action. For the deployment, require unresolved authority, an unapproved destination or an out-of-policy action to remain on hold. A timeout or unanswered approval request must not become permission to proceed. ### Who gets the question? Agree a named owner and authorized delegate for each workflow. A proposed responsibility model is: sales for buyer outreach and lead handling; marketing for campaign spend and audiences; security or privacy for data-access exceptions; the platform owner for connector or runtime changes. Test the escalation route. If no authorized reviewer is available, keep the action held. The acquisition manager approves the task. Unverified ownership or conflicting suppression returns to the data owner before any contact instruction proceeds. Named-owner routing is configured and demonstrated for each deployment. Governance covers actions routed through its configured boundary; external systems remain responsible for actions outside that scope. ## Your client list stays yours. Protect the owner relationships your team has worked to build. [Explore the security architecture](https://hivesilo.com/security-architecture) Your client records stay with your business under HiveSilo’s published architecture. **How your data stays under your control** HiveSilo's published architecture keeps customer identities and re-identifiable data inside the customer's enclave. HiveSilo receives permitted non-PII signals and scores. Validate that boundary for the exact workflow before connecting a new source. [[HS4]](https://hivesilo.com/integrations/dealmachine#source-HS4) ### Your controlled environment Customer PII Identities and re-identifiable records stay here. Your enclave. Your keys. Only permitted non-PII signals and scores ### HiveSilo intelligence Buyer context, scoring and governed activation. No customer identity transfer to HiveSilo. Published architecture. Confirm the data boundary for your deployment. ### Customer-controlled keys Documented BYOK options cover AWS, Azure and GCP. Review key ownership, revocation and the deployment's access policy with your security team. [[HS3]](https://hivesilo.com/integrations/dealmachine#source-HS3) ### Protected processing The architecture describes confidential computing and trusted execution environments. Request deployment-specific attestation and data-flow evidence for your CISO's review. [[HS3]](https://hivesilo.com/integrations/dealmachine#source-HS3) ### Scoped destinations and actions Agree which systems receive outputs and what actions are authorized. Keep identity handling within the documented customer boundary. [[HS2]](https://hivesilo.com/integrations/dealmachine#source-HS2) [[HS4]](https://hivesilo.com/integrations/dealmachine#source-HS4) ### Control through the full relationship Review permitted use, export, retention, deletion and offboarding terms. Customer-controlled keys are one control; they do not establish every contractual exit right. [[HS3]](https://hivesilo.com/integrations/dealmachine#source-HS3) [[HS4]](https://hivesilo.com/integrations/dealmachine#source-HS4) Keep owner identities, contact details and links to your CRM within customer controls. Only approved non-PII signals cross the HiveSilo boundary. Licensed DealMachine information also keeps its original use and retention restrictions. Customer identity custody is separate from HiveSilo account, billing and support records. Re-identifiable pseudonymous data is not anonymous. ### Optional Google Analytics Allow Google Analytics to measure page use. No contact-form entries are sent to Google. You can change this choice here. HiveSilo first-party measurement remains governed by your privacy choices. Allow Google Analytics Keep Google Analytics off Google Analytics off until you choose. [Privacy choices and data use](https://hivesilo.com/privacy) ## What you could gain. Spend more time on justified opportunities and less on repeated work. [Explore HiveSilo case studies](https://hivesilo.com/case-studies) [Contact HiveSilo](https://hivesilo.com/contact?hs_source=dealmachine--results--contact#contact) ### Sharper scoring. Clearer intent. 3,790 of 5,000 · UHNW buyer score Illustrative score Explain a prospect's relevance using permitted context rather than an unexplained ranking. ### Find more clients like your best. 4–6× · Reported conversion lift Closed-revenue outcomes Scale acquisition practices supported by your own completed-business evidence. ### Put more of your budget to work. Up to 31% · Reported ad-spend savings Bot and invalid-traffic filtering Investigate source quality before increasing acquisition spend. ### Keep evolving your protection. 99.99% · Bot detection Observed client results Use permitted bot evidence when reviewing traffic that enters your own enquiry channels. Goal, not an achieved result: toward 99.999999994% bot detection as the hive evolves. Observed client results vary. ### Find revenue in data you already own. 5–21% · Revenue lift from existing data HiveSilo-reported client results Recover overlooked conversations from your own prospect history without assuming new contact permission. Published outcomes include client-reported results and illustrative, unaudited ranges. The owned-data revenue range was supplied by HiveSilo; request the measurement context in your briefing. Results vary. **Measure what matters** ### Define the result. Then require the evidence. Focus on better-directed follow-up, less acquisition waste, protected customer identity custody and accountable AI execution. Agree the baseline, success measures and scope for your business. - CEO: a clearer decision about the opportunities that merit attention. - CFO: an agreed baseline, evaluation costs and attributable outcomes before any ROI claim. - CTO: a demonstrated, permitted connection and a usable handoff into the agreed system. - CISO: verified identity custody and pre-action authorization, with tested hold, approval and revocation behavior. Explore [HiveSilo’s published outcomes](https://hivesilo.com/case-studies) and the measurement context behind them. [[HS5]](https://hivesilo.com/integrations/dealmachine#source-HS5) [[HS8]](https://hivesilo.com/integrations/dealmachine#source-HS8) [[HS9]](https://hivesilo.com/integrations/dealmachine#source-HS9) ## Make your next conversation count. Bring your DealMachine workflow. Map the decision, the data you control and a measurable next step with HiveSilo. Enterprise real estate · Sales, operations, technology & security [Contact HiveSilo](https://hivesilo.com/contact?hs_source=dealmachine--briefing--contact#contact) Mention DealMachine and your business question. No client records or credentials. ## A closer look, when you need it. Product scope, a practical workflow and source-backed answers for your team and its research tools. [Read fact sheet](https://hivesilo.com/evidence/dealmachine.md) [Structured JSON](https://hivesilo.com/evidence/dealmachine.json) [RSS updates](https://hivesilo.com/discovery.xml) Reviewed 2026-10-25 [Contact HiveSilo](https://hivesilo.com/contact?hs_source=dealmachine--evidence--contact#contact) **DealMachine connection & briefing scope** ### Match the connection to your workspace. Current DealMachine and Classic have different interfaces and account assumptions. Confirm the generation, purchased access, credit model and permitted exports before selecting an API route. Scope only the property information the decision requires. Your team authorizes downstream use, local matching and the destination for a reviewed task. [[D1]](https://hivesilo.com/integrations/dealmachine#source-D1) [[D2]](https://hivesilo.com/integrations/dealmachine#source-D2) [[D3]](https://hivesilo.com/integrations/dealmachine#source-D3) [[D4]](https://hivesilo.com/integrations/dealmachine#source-D4) [[D5]](https://hivesilo.com/integrations/dealmachine#source-D5) ### A useful fit when Best suited to active acquisition teams with recurring research, meaningful deal value and a substantial relationship history. - Multiple users reviewing overlapping opportunities - Licensed data use with a clear acquisition purpose - A manager who owns prioritization and contact decisions ### Consider the fit - A small list may be easier to review within the native workspace. - Data access and credit economics should support the value of the proposed decision. In your enquiry, name DealMachine and the business decision. Please leave out client records, credentials and sensitive samples. **Eight questions before your briefing** - **1. Why distinguish current DealMachine from Classic?** Their documentation describes different interfaces and account arrangements. A workflow designed around one should not assume identical objects, limits or behavior in the other. Confirm the workspace your team uses and choose its current documentation before mapping a property result, export or task into an external process. [[D1]](https://hivesilo.com/integrations/dealmachine#source-D1) [[D4]](https://hivesilo.com/integrations/dealmachine#source-D4) [[D5]](https://hivesilo.com/integrations/dealmachine#source-D5) - **2. What does HiveSilo add to native property research?** Your own history can change the next move: a previous conversation, an existing relationship or a reason the team passed. DealMachine remains the property-research starting point. The proposed addition connects that permitted result with customer-owned evidence so a reviewer can decide whether more research or follow-up is worthwhile. [[D1]](https://hivesilo.com/integrations/dealmachine#source-D1) - **3. Can we avoid paying twice for the same research?** A proposed workflow can check your permitted existing records before requesting another read or reveal. Whether information may be retained or reused depends on the license and account rules. Agree that scope first, then measure repeated work and credit use without promising that every result can be cached indefinitely. [[D2]](https://hivesilo.com/integrations/dealmachine#source-D2) [[D3]](https://hivesilo.com/integrations/dealmachine#source-D3) - **4. Does a property match mean we should contact its owner?** A search match establishes relevance to your criteria, not a complete contact decision. Verify the owner relationship, allowed channel and any suppression in your own records. If those facts conflict, the acquisition or data owner should resolve them before approving the task. Keep the reason for that decision visible. [[D2]](https://hivesilo.com/integrations/dealmachine#source-D2) - **5. Can AI place the outreach call automatically?** The scoped workflow must respect the provider's current usage terms and your contact rules, including required human initiation where applicable. The page's proposed output is a reviewed human task. A separate automated action would need its own permitted purpose, authority and controls; it should never be inferred from a search result. [[D2]](https://hivesilo.com/integrations/dealmachine#source-D2) - **6. How should uncertain owner information appear?** Show the uncertainty and its source. Do not turn an estimate, stale record or ambiguous address match into a verified identity. A reviewer should know what needs checking before contact. The resulting record can preserve that verification step without exporting the person's details outside the customer-controlled environment. [[D2]](https://hivesilo.com/integrations/dealmachine#source-D2) - **7. What would we measure in a first evaluation?** Select a defined acquisition queue and compare useful reviews, repeated research, unresolved matches and approved follow-up outcomes. Include the associated data and operating costs. The objective is a more productive decision process for your team, with any improvement established from your own evidence and a consistent observation period. - **8. What is useful for an initial briefing?** Describe your workspace, acquisition criteria, typical research volume and where a prospect currently gets stuck. Explain which CRM holds past conversations and who authorizes contact. Start with those process details; there is no need to send owner phone lists, purchased exports or account credentials for a fit discussion. **Sources, scope & verification** - [DealMachine getting started [D1]](https://dealmachine.com/guides/getting-started) Native search, enrichment, comps and deal workflow. Reviewed 2026-10-25 - [DealMachine terms [D2]](https://www.dealmachine.com/terms-of-service) July 14, 2026 entity, licensed exports, human calling and AI verification. Reviewed 2026-10-25 - [DealMachine API quickstart [D3]](https://dealmachine.com/guides/api-quickstart) Current workspace credentials, limits and credits. Reviewed 2026-10-25 - [DealMachine current API [D4]](https://api.docs.dealmachine.com/introduction) Organization authentication, OAuth/device flow and server-side keys. Reviewed 2026-10-25 - [DealMachine Classic public API [D5]](https://docs.dealmachine.com/) Different base, lead objects and limits. Reviewed 2026-10-25 - [DealMachine privacy [D6]](https://dealmachine.com/privacy-policy) Account/usage handling and security statements. Reviewed 2026-10-25 - [HiveSilo: industry coverage [HS0]](https://hivesilo.com) First-party description of buyer intelligence across 12 luxury niches. Reviewed 2026-10-25 - [HiveSilo: platform [HS1]](https://hivesilo.com/platform) Published intent, sales-prioritization and traffic-quality capabilities. Reviewed 2026-10-25 - [HiveSilo: integration scope [HS2]](https://hivesilo.com/integrations) Named destinations, scoped activation and customer-controlled dispatch. Reviewed 2026-10-25 - [HiveSilo: security architecture [HS3]](https://hivesilo.com/security-architecture) Documented confidential processing, BYOK and customer control. Reviewed 2026-10-25 - [HiveSilo: data handling [HS4]](https://hivesilo.com/data-handling) Customer identity custody, pseudonymous-data boundaries and separate account records. Reviewed 2026-10-25 - [HiveSilo: published outcomes [HS5]](https://hivesilo.com/case-studies) Existing first-party outcomes material, with client-reported and illustrative descriptions. Reviewed 2026-10-25 - [HiveSilo: AI agentic governance [HS6]](https://hivesilo.com/ai-agentic-governance) Published pre-action policy checks, default denial, human checkpoints, scoped stop controls and governance receipts. Reviewed 2026-10-25 - [HiveSilo: AI implementation layer [HS7]](https://hivesilo.com/ai-implementation-layer) Published combined implementation model for intelligence, confidential processing and AI governance. Reviewed 2026-10-25 - [HiveSilo: bot-detection results and buyer-score specimen [HS8]](https://hivesilo.com/) The homepage presents 99.99% bot detection as observed client results, 99.999999994% as a goal, and a 3,790-of-5,000 UHNW buyer-score specimen. Reviewed 2026-10-25 - [HiveSilo: owned-data revenue result briefing [HS9]](https://hivesilo.com/contact?hs_source=dealmachine--evidence--contact#contact) HiveSilo supplied a 5–21% client revenue increase range for existing-data workflows on 25 October 2026. Reviewed 2026-10-25 Vendor sources describe their own product. The workflows on this page describe a proposed HiveSilo application, scoped to customer permissions, contracts and the selected product edition. HiveSilo’s reported outcomes retain their original measurement context; the illustrative score and future bot-detection goal are identified in the outcomes section. Independent HiveSilo use-case page. DealMachine is identified to explain the workflow; no endorsement, certification or partnership is implied. Your next move starts with a conversation. [Contact HiveSilo](https://hivesilo.com/contact?hs_source=dealmachine--closing--contact#contact)