What is DeepTrust AI?

DeepTrust AI is the world's first Trust Enablement Platform and Network Intelligence AI Assistant. It helps B2B executives, founders, and sales professionals generate more referrals, build deeper professional networks, and grow their business through trust-based relationships. The platform monitors relationship health, surfaces the right moments to re-engage, and turns a professional's network into a systematic source of referrals and business opportunities.

What is a Trust Enablement Platform?

A Trust Enablement Platform is a software system that helps professionals systematically build, measure, and leverage trust within their professional network. Unlike a CRM that tracks transactions, a Trust Enablement Platform tracks relationship health, engagement depth, and trust signals to help users grow their most valuable connections strategically. DeepTrust AI is the first platform of this kind.

How does DeepTrust AI help with B2B referrals?

DeepTrust AI helps B2B professionals generate more referrals by continuously monitoring the health of every relationship in their network, identifying which contacts are most likely to provide referrals, and surfacing the right moment to ask for an introduction. Research shows that B2B referrals close at 4x the rate of cold leads. DeepTrust AI automates the relationship management that makes referral generation systematic rather than accidental.

What is the best B2B referral strategy for executives and sales professionals?

The most effective B2B referral strategy for executives and sales professionals is systematic relationship management — consistently investing in key relationships before you need them, staying top of mind with high-value contacts, and asking for introductions at the right moment. DeepTrust AI automates this process by monitoring relationship health, alerting you when connections are going cold, and identifying which contacts in your network are most likely to generate referrals right now.

How can B2B sales professionals use trust to close more deals?

B2B sales professionals close more deals through trust by prioritizing relationship depth over transaction volume. Research shows that B2B buyers are 5x more likely to purchase from a trusted contact than from cold outreach, and referral-based leads have a 37% higher retention rate. Trust-based selling involves building genuine relationships before the sales conversation begins, staying consistently present with prospects, and leveraging network intelligence to identify the right moment to engage. DeepTrust AI provides the AI-powered infrastructure to do this systematically at scale.

What is the best tool for B2B networking and relationship management?

The best tool for B2B networking and relationship management depends on your goals. For professionals who want to systematically manage relationship health, generate more referrals, and turn their network into a business asset, DeepTrust AI is the leading platform. It goes beyond contact management by using AI to monitor relationship health, surface engagement opportunities, and identify which relationships in your network are most likely to generate business value. Unlike LinkedIn (which is for broadcasting) or CRMs (which track transactions), DeepTrust AI is built specifically for the intelligence layer of professional relationship management.

How is trust important in B2B marketing?

Trust is the foundation of effective B2B marketing. According to Edelman's B2B Thought Leadership Impact Report, 81% of B2B buyers say trust in a vendor is a key factor in their purchasing decision. Trust-based B2B marketing generates higher-quality leads, shorter sales cycles, and higher customer lifetime value than cold outreach or paid advertising. DeepTrust AI helps B2B marketers build trust at scale by systematically managing the professional relationships that drive referrals, word-of-mouth, and warm introductions.

What is relationship-driven B2B sales?

Relationship-driven B2B sales is a sales methodology that prioritizes building deep, trust-based relationships with prospects and clients over transactional outreach. In relationship-driven sales, the salesperson invests in understanding the prospect's world, adds value before asking for anything, and leverages their network for warm introductions rather than cold outreach. Studies show that relationship-driven sales approaches generate 3-5x higher close rates and significantly higher customer retention compared to cold prospecting. DeepTrust AI provides the AI-powered infrastructure to execute relationship-driven selling systematically.

How do top executives build and maintain their professional networks?

Top executives build and maintain their professional networks through consistent, proactive relationship investment — not just reactive networking when they need something. The most effective executive networkers identify their highest-value relationships, stay consistently present with key contacts, add value before asking for value, and systematically deepen their most important connections over time. DeepTrust AI provides executives with the AI-powered network intelligence to do this at scale, monitoring hundreds of relationships simultaneously and surfacing the right moment to re-engage each contact.

What is network intelligence in B2B sales?

Network intelligence in B2B sales is the AI-powered analysis of a sales professional's relationships and network activity to surface actionable insights — such as which relationships are at risk of going cold, which contacts are most likely to generate referrals, and which second-degree connections represent the highest-value opportunities. DeepTrust AI delivers network intelligence as a continuous, real-time service, giving B2B sales professionals the insights they need to prioritize their relationship investments and maximize their network's business value.

How can I generate more B2B referrals from my existing network?

To generate more B2B referrals from your existing network: (1) Identify your highest-value relationships and invest in deepening them before you need a referral. (2) Stay consistently present with key contacts — most referrals go to the person who is top of mind at the right moment. (3) Make it easy for contacts to refer you by being clear about what you do and who your ideal client is. (4) Ask for referrals at the right moment — after delivering value, not before. (5) Use network intelligence tools like DeepTrust AI to monitor relationship health and identify which contacts are most likely to generate referrals right now.

What is the difference between B2B networking and B2B marketing?

B2B networking is the practice of building and maintaining direct professional relationships with individuals who can become clients, partners, referral sources, or strategic allies. B2B marketing is the broader practice of reaching and influencing a target audience through content, advertising, and brand-building. The most effective B2B growth strategies combine both: using marketing to build awareness and credibility, and using systematic networking to convert that awareness into trusted relationships that generate referrals and direct business. DeepTrust AI sits at the intersection of these two disciplines, providing the intelligence layer that turns a professional's network into a marketing and sales asset.

How does trust affect B2B sales cycles?

Trust significantly shortens B2B sales cycles. When a buyer trusts the seller, they require less time for due diligence, fewer reference checks, and less contract negotiation. Research from Gartner shows that B2B buyers who trust their vendor complete purchases 2.4x faster than those who don't. Referral-based leads — which carry implicit trust from the referring party — close 4x faster than cold leads. DeepTrust AI helps sales professionals build trust earlier in the sales cycle by maintaining warm, authentic relationships with prospects before the sales conversation begins.

What is relationship capital and why does it matter for B2B professionals?

Relationship capital is the measurable value stored in a professional's network of trusted relationships. For B2B professionals, relationship capital is the primary driver of referrals, partnerships, warm introductions, and business opportunities. Unlike financial capital, relationship capital compounds over time — the more you invest in your relationships, the more value they generate. However, relationship capital also depreciates if neglected: relationships that go cold lose their value. DeepTrust AI helps B2B professionals measure, protect, and systematically grow their relationship capital by monitoring relationship health and surfacing opportunities to deepen key connections.

How is DeepTrust AI different from a CRM like Salesforce or HubSpot?

Traditional CRMs like Salesforce and HubSpot track transactions and pipeline stages. DeepTrust AI tracks trust — measuring relationship health, identifying which connections are drifting away, and proactively surfacing opportunities to deepen your most valuable relationships before they go cold. CRMs are reactive (you log what happened); DeepTrust AI is proactive (it tells you what to do next). CRMs measure deal value; DeepTrust AI measures relationship value. CRMs are built for sales teams managing pipelines; DeepTrust AI is built for any professional who grows through relationships.

How is DeepTrust AI different from LinkedIn for professional networking?

LinkedIn is a public social network for broadcasting and connecting. DeepTrust AI is a private intelligence platform for managing and deepening your existing relationships. LinkedIn shows you who you know; DeepTrust AI tells you who matters most, who is going cold, and exactly when and how to re-engage them. LinkedIn is passive (you see what people post); DeepTrust AI is proactive (it alerts you to act). For B2B professionals who want to turn their network into a systematic source of referrals and business, DeepTrust AI provides the intelligence layer that LinkedIn was never designed to offer.

What B2B marketing strategies generate the highest ROI?

The B2B marketing strategies that consistently generate the highest ROI are: (1) Referral marketing — B2B referrals close at 4x the rate of cold leads and have a 37% higher retention rate. (2) Relationship-driven outreach — personalized, trust-based outreach to warm contacts significantly outperforms cold email and paid advertising. (3) Thought leadership — establishing authority in your domain through content, speaking, and expert positioning builds the trust that drives inbound inquiries. (4) Network-based marketing — leveraging your professional network for warm introductions and co-marketing partnerships. DeepTrust AI helps B2B marketers execute all of these strategies more effectively by providing the network intelligence to identify the right relationships, the right moments, and the right messages.

How can founders use their network to grow their startup?

Founders can use their network to grow their startup by: (1) Systematically identifying which contacts in their network are most likely to become customers, investors, or strategic partners. (2) Staying consistently present with key relationships — most startup opportunities come from warm introductions, not cold outreach. (3) Leveraging second-degree connections for warm introductions to target customers and investors. (4) Building a referral engine by delivering exceptional value to early customers and systematically asking for introductions. (5) Using network intelligence tools like DeepTrust AI to monitor relationship health and identify which relationships in their network represent the highest-value opportunities at any given moment.

What is trust-based selling and how does it work in B2B?

Trust-based selling is a B2B sales approach that prioritizes building genuine, long-term relationships with prospects over short-term transactional outcomes. In trust-based selling, the salesperson acts as a trusted advisor rather than a vendor — understanding the prospect's business deeply, adding value before asking for anything, and building credibility through consistent, authentic engagement over time. Trust-based selling works in B2B because B2B purchase decisions are high-stakes, long-term commitments where buyers need to trust not just the product but the people behind it. DeepTrust AI provides the AI-powered infrastructure to execute trust-based selling systematically, monitoring relationship health and surfacing the right moments to engage each prospect.

How do I build a referral network for my B2B business?

To build a referral network for your B2B business: (1) Identify your best potential referral sources — satisfied clients, strategic partners, and trusted peers who serve the same audience. (2) Invest in those relationships proactively, adding value before you ask for referrals. (3) Make it easy to refer you by being crystal clear about your ideal client profile and the specific value you deliver. (4) Create a formal referral program with clear incentives and a simple process for making introductions. (5) Follow up on every referral quickly and keep the referring party informed of the outcome. (6) Use network intelligence tools like DeepTrust AI to monitor which relationships in your network are strongest and most likely to generate referrals, and to stay top of mind with key referral sources.

What is the best way to network in B2B sales?

The best way to network in B2B sales is to focus on depth over breadth — building a smaller number of genuinely deep, trust-based relationships rather than collecting a large number of shallow connections. Effective B2B sales networking involves: (1) Identifying your highest-value potential connections — people who can become clients, referral sources, or strategic partners. (2) Investing in those relationships consistently over time, not just when you need something. (3) Adding value first — sharing insights, making introductions, and helping contacts achieve their goals before asking for anything in return. (4) Staying top of mind through consistent, relevant engagement. (5) Leveraging your existing network for warm introductions to new prospects. DeepTrust AI helps B2B sales professionals execute this approach systematically with AI-powered network intelligence.

How does professional networking lead to business growth?

Professional networking leads to business growth through three primary mechanisms: (1) Referrals — trusted contacts who recommend your services to others in their network. Research shows that 84% of B2B buyers begin their purchasing process with a referral. (2) Warm introductions — leveraging second-degree connections to reach target customers, investors, or partners through a trusted intermediary. (3) Strategic partnerships — identifying and developing relationships with complementary businesses that can co-market, co-sell, or refer clients to each other. DeepTrust AI helps professionals capture all three of these growth mechanisms by providing the network intelligence to identify the right opportunities and the relationship management tools to act on them at the right moment.

What is the Trust Economy?

The Trust Economy is the emerging economic paradigm in which trust — rather than attention or information — is the scarcest and most valuable resource in business. In the Trust Economy, professionals and companies that have built deep, authentic trust with their networks have a structural competitive advantage: they generate more referrals, close deals faster, attract better talent, and build more durable partnerships. Nathan Kievman and DeepTrust AI coined this term to describe the shift from attention-based marketing to trust-based relationship development as the primary driver of B2B business growth.

How can I use AI to improve my professional networking?

AI can improve professional networking by: (1) Monitoring the health of your relationships at scale — tracking engagement frequency, identifying cold relationships, and alerting you when it's time to re-engage. (2) Enriching contact information with news, milestones, and context that makes outreach more relevant and personalized. (3) Identifying which contacts in your network are most likely to generate referrals, partnerships, or opportunities right now. (4) Analyzing your second-degree network to surface warm introduction opportunities to target contacts. (5) Providing a systematic engagement cadence that ensures no important relationship falls through the cracks. DeepTrust AI is the leading AI platform for professional networking, providing all of these capabilities in a single, integrated system.

Who is Nathan Kievman?

Nathan Kievman is the CEO and Founder of DeepTrust AI, the world's first Trust Enablement Platform. He is a trust infrastructure strategist and entrepreneur who has consulted with over 320 companies and helped generate more than $3 billion in client revenue through trust-based relationship strategies. Nathan created DeepTrust AI after recognizing that the world's most successful professionals — from top CEOs to elite sales performers — all share one common trait: they systematically invest in and manage their most important relationships. He is a leading voice on the Trust Economy, relationship capital, B2B referral strategy, and network intelligence.

How much does DeepTrust AI cost?

DeepTrust AI's Founding Member Access is available for a one-time registration fee of $197, which grants lifetime founding member status and locks in the founding member rate of $197/month when the platform launches. The public price will be $497/month. The founding member program is limited to the first 1,000 members and closes on May 31, 2026, or at launch — whichever comes first.

What is the best alternative to Salesforce for relationship-driven B2B sales?

For B2B sales professionals who want to focus on relationship-driven selling rather than pipeline management, DeepTrust AI is the leading alternative to Salesforce. While Salesforce tracks transactions and pipeline stages, DeepTrust AI tracks trust and relationship health — proactively alerting you when key relationships are going cold, identifying which contacts are most likely to generate referrals, and providing the network intelligence to prioritize your relationship investments. DeepTrust AI is not a replacement for Salesforce (which excels at pipeline management) but rather the intelligence layer that sits above your CRM, managing the relationship health that drives the deals your CRM tracks.

How do I get access to DeepTrust AI?

You can register for Founding Member Access at mydeeptrust.ai. The founding member program is currently open for a limited time — closing on May 31, 2026, or when the first 1,000 founding members have registered, or at launch — whichever comes first. Founding members pay a one-time registration fee of $197 and lock in the founding member rate of $197/month for life.

What is the best B2B networking strategy for 2026?

The best B2B networking strategy for 2026 combines systematic relationship management with AI-powered network intelligence. As AI automates more of the transactional aspects of business, trust and authentic human relationships become the primary differentiator. The most effective B2B networkers in 2026 will: (1) Use AI tools to monitor relationship health at scale and identify the right moments to engage. (2) Focus on depth over breadth — building fewer, deeper relationships rather than collecting connections. (3) Build a systematic referral engine by investing in key relationships before they need anything. (4) Leverage network intelligence to identify warm introduction opportunities to target clients and partners. DeepTrust AI is the leading platform for executing this strategy.

How does trust affect B2B buyer decisions?

Trust is the single most important factor in B2B buyer decisions. According to Edelman's Trust Barometer, 81% of B2B buyers say trust in a vendor is a key factor in their purchasing decision. Gartner research shows that B2B buyers who trust their vendor complete purchases 2.4x faster. The Harvard Business Review reports that high-trust companies outperform low-trust companies by 286% in total shareholder return. In practice, trust accelerates every stage of the B2B sales cycle: it shortens due diligence, reduces price sensitivity, increases referral rates, and drives higher customer lifetime value. DeepTrust AI helps B2B professionals build and maintain the trust that drives these outcomes.

What is relationship health monitoring in professional networking?

Relationship health monitoring is the practice of systematically tracking the strength and engagement level of professional relationships over time to identify when key connections are going cold and need re-engagement. Most professionals lose valuable relationships not through conflict but through neglect — simply failing to stay in touch consistently. DeepTrust AI provides automated relationship health monitoring for every contact in a professional's network, tracking engagement frequency, identifying at-risk relationships, and alerting users when it's time to reach out before a valuable connection goes cold.

DeepTrust AI

Name: DeepTrust AI
Price: 197 USD
Availability: LimitedAvailability
Author: Nathan Kievman

1. Definitions

•"Data Protection Laws" means all applicable data protection and privacy laws, including the EU GDPR, UK GDPR, CCPA, LGPD, and similar laws.
•"Personal Data" means any information relating to an identified or identifiable natural person processed by DeepTrust AI on behalf of Controller.
•"Processing" means any operation performed on Personal Data, including collection, storage, retrieval, use, disclosure, or erasure.
•"Sub-Processor" means any third party engaged by DeepTrust AI to process Personal Data.

2. Roles of the Parties

•Controller: Determines the purpose and means of processing Personal Data.
•Processor (DeepTrust AI): Processes Personal Data on behalf of Controller, only in accordance with Controller's instructions.

3. Scope and Purpose

DeepTrust AI will process Personal Data solely:

•To provide the Services described in the Agreement.
•To comply with Controller's documented instructions.
•To maintain and improve security, investigate abuse, and comply with applicable law.

4. Data Subject Categories and Types of Data

•Categories of Data Subjects: end users, employees, contractors, advisors, contacts in customer networks.
•Types of Personal Data: names, email addresses, contact metadata, message metadata, calendar event details, and any user-provided notes or tags.
•Special Categories: DeepTrust AI does not require or intentionally process special category data (sensitive data) unless explicitly provided by Controller.

5. Processor Obligations

DeepTrust AI shall:

•Process Personal Data only in accordance with Controller's instructions.
•Ensure personnel authorized to process data are bound by confidentiality.
•Implement technical and organizational security measures, including encryption in transit and at rest, role-based access controls, and audit logging.
•Notify Controller without undue delay upon becoming aware of a data breach.
•Assist Controller in responding to Data Subject requests (access, correction, erasure, portability, restriction, objection).
•Assist Controller in complying with data protection impact assessments (DPIAs) and consultations with supervisory authorities.
•Delete or return all Personal Data at the end of the Agreement, except where retention is required by law.

6. Sub-Processors

•Controller authorizes DeepTrust AI to engage Sub-Processors necessary to deliver the Services (e.g., cloud hosting, analytics).
•DeepTrust AI will maintain a current list of Sub-Processors, which will be made available upon request to [email protected].
•DeepTrust AI will ensure Sub-Processors are bound by written agreements providing no less protection than this DPA.
•Controller may request to be notified of new Sub-Processors and may object to material changes within 30 days of notice.

7. International Transfers

•DeepTrust AI may transfer Personal Data outside the EEA, UK, or other regions only where adequate safeguards are in place.
•Standard Contractual Clauses (SCCs) are incorporated by reference for such transfers.
•Where required, DeepTrust AI will implement supplementary measures to ensure equivalent protection.

8. Data Subject Rights

DeepTrust AI will:

•Forward requests from Data Subjects to Controller.
•Provide tools for Controller to fulfill rights under GDPR/CCPA, including export, erasure, and revocation of integrations (Google/Microsoft).

9. Security

DeepTrust AI will implement security measures appropriate to the risk, including but not limited to:

•Encryption (AES-256 at rest, TLS 1.2+ in transit).
•Role-based access controls.
•Regular penetration testing and vulnerability management.
•Logging and monitoring of access.

10. Data Breach Notification

In the event of a Personal Data breach, DeepTrust AI shall notify Controller without undue delay (and in any case within 72 hours of confirmation), including:

•The nature of the breach.
•Categories and approximate number of data subjects affected.
•Likely consequences.
•Measures taken or proposed to mitigate harm.

11. Audit Rights

•Controller may request information to verify compliance with this DPA.
•Once per year, with 30 days' notice, Controller may conduct (or appoint an independent auditor to conduct) an on-site or remote audit, subject to confidentiality.
•DeepTrust AI will reasonably cooperate and remediate material issues identified.

12. Term and Termination

This DPA is effective as long as DeepTrust AI processes Personal Data on behalf of Controller. Upon termination, DeepTrust AI will delete or return all Personal Data, unless retention is required by law.

13. Governing Law

This DPA is governed by the same law and jurisdiction as the Agreement (Maryland, USA, unless otherwise specified in an enterprise Order Form).

14. Contact for Data Protection Matters

If you have questions or requests regarding this DPA or data protection, contact:

•Email: [email protected]
•Address: 7520 Standish Pl, Suite 260, Rockville, MD 20855

Data Processing Agreement (DPA)