pharosIQ has introduced atlasIQ Intelligence at the Forrester B2B Summit North America 2026, positioning buyer intelligence as the next foundation for AI-driven go-to-market execution. The announcement reflects growing pressure on B2B revenue teams to replace broad intent signals with more precise, contact-level buying insights

For years, B2B marketers have relied on intent data to prioritize accounts, route leads, and guide demand generation campaigns. But as buying committees become larger, decision cycles more complex, and AI automation enters revenue operations, many organizations are discovering a core limitation: intent data often reveals interest, not actual buyers.

That challenge is creating demand for a new category of go-to-market intelligence.

pharosIQ announced atlasIQ Intelligence, a data intelligence offering designed to help enterprises identify real buying groups, understand decision formation at the contact level, and activate signals across sales and marketing systems in real time.

The company unveiled the platform during Forrester’s B2B Summit North America 2026 in Phoenix, one of the largest annual gatherings for B2B marketing, revenue, and product leaders.

Why Intent Data Is Losing Ground

Traditional intent data has become a staple of account-based marketing and pipeline acceleration strategies. Vendors typically infer demand using content consumption, keyword activity, ad engagement, or third-party browsing behavior.

That model helped fuel account-based marketing growth over the past decade.

But modern GTM teams increasingly need deeper answers:

• Who is actually involved in the purchase?
• Which contacts are influencing decisions?
• How advanced is the buying process?
• Which signals are meaningful versus noisy?
• When should sales engage?

Intent platforms can surface “in-market” accounts, but often struggle to identify real buying committees with enough precision for autonomous workflows or AI agents.

That gap is becoming more visible as revenue teams try to automate outreach, prioritization, and pipeline forecasting.

What atlasIQ Intelligence Does

pharosIQ says atlasIQ Intelligence is built to move from account-level intent toward decision-ready buyer intelligence.

According to the company, the platform combines:

• First-party engagement data
• Contact-level buyer activity signals
• AI-driven contextual modeling
• Continuous signal validation
• Real-time activation across GTM systems

The stated goal is to help companies identify active buying groups rather than anonymous account interest.

That distinction matters because B2B purchases often involve multiple stakeholders across finance, procurement, IT, security, and business units. Knowing an account is researching a category is useful. Knowing which five people are driving the decision is far more valuable.

Why It Matters in the AI Era

The timing of the launch reflects a broader market shift toward agentic GTM systems—AI-powered workflows that can score demand, personalize outreach, recommend next actions, and optimize pipeline programs with less manual intervention.

However, AI systems are only as strong as the data feeding them.

If models rely on weak or outdated intent signals, automation can amplify inefficiency rather than improve outcomes.

That is why many revenue leaders are refocusing on data quality, identity resolution, and first-party engagement sources.

Forrester and Gartner have both emphasized that B2B buying journeys are increasingly nonlinear, involving digital self-education, anonymous research, and consensus-driven decision making.

In that environment, static lead scoring and shallow account signals may no longer be enough.

Competitive Landscape

The buyer intelligence market overlaps with several established categories:

• Intent data platforms
• Account-based marketing software
• Revenue intelligence systems
• Sales engagement platforms
• Customer data platforms

Potential competitors or adjacent vendors include 6sense, Demandbase, ZoomInfo, Salesforce, and HubSpot.

pharosIQ appears to be differentiating by emphasizing first-party buyer intelligence and contact-level decision visibility rather than broad account scoring.

If successful, that could resonate with enterprise teams frustrated by inflated intent volumes that fail to convert into pipeline.

Growth Signals and Market Timing

The company also said it achieved double-digit organic year-over-year revenue growth in 2025, with continued momentum in 2026.

That claim is notable because many GTM technology vendors have relied on acquisitions for expansion. Organic growth may indicate stronger product-market fit if sustained.

The macro environment also favors measurable pipeline tools. CMOs and CROs are under pressure to prove ROI, shorten sales cycles, and align marketing spend directly with revenue outcomes.

Any platform that can improve buying group identification and reduce wasted targeting budgets could attract attention.

Market Outlook

The bigger story is not one product launch—it is the shift in how B2B demand generation is measured.

The next generation of GTM systems may care less about which company clicked and more about which humans are actually deciding.

That transition could redefine lead generation, ABM, sales prioritization, and pipeline forecasting over the next several years.

If that happens, buyer intelligence may become as important to revenue teams as CRM systems were in the previous era.

Market Landscape

B2B go-to-market technology is moving from account-level targeting toward identity-rich, AI-ready buyer intelligence. As automation expands, enterprises need data that explains not only where demand exists, but who is driving it and when to act.

Top Insights

•  pharosIQ launched atlasIQ Intelligence to help GTM teams identify real buyers rather than broad account intent signals.
• The platform uses first-party engagement data, AI modeling, and continuous validation for real-time execution.
• Intent data remains useful, but many teams now want contact-level buying committee visibility.
• Buyer intelligence is becoming critical for agentic sales and marketing automation systems.
• The shift could reshape ABM, lead generation, and pipeline forecasting categories.

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