Validity Inc. has launched Validity Engage, a next-generation AI platform built to help marketing teams identify risk before campaigns go live, optimize performance, and execute faster with fewer surprises.

Unveiled at Litmus Live 2026, Engage marks a significant shift for Validity—from monitoring and diagnostics to predictive, agentic AI embedded directly into the campaign lifecycle.

For marketers drowning in performance data yet still reacting to problems after send, Engage promises something different: foresight.

Four AI Agents, One Campaign Workflow

At the core of Engage are four specialized AI agents designed to operate across every email send:

• Ignite Agent flags and fixes rendering, code, and compliance risks before deployment.

• Guardian Agent monitors subscriber experience and deliverability signals to catch issues early.

• Expression Agent generates on-brand copy and subject line variants to maintain consistency and lift engagement.

• Insight Agent benchmarks performance against competitors and surfaces missed revenue opportunities.

Together, they aim to shift email marketing from reactive troubleshooting to proactive optimization.

The structure reflects a broader industry trend toward agentic AI—systems that don’t just analyze but act. Instead of siloed tools for testing, deliverability, and copywriting, Engage embeds automated decision support across the full send process.

Powered by 2.5 Billion Daily Data Points

What differentiates Engage, according to Validity, is its data backbone.

Unlike point solutions trained only on internal client datasets, Engage draws from Validity’s global email intelligence network, which processes more than 2.5 billion data points daily—representing a substantial share of commercial email traffic worldwide.

That scale matters. Deliverability and engagement patterns vary widely by region, ISP, and industry. By training AI models on a broader data stream, Validity claims it can anticipate inbox placement outcomes and campaign risk with greater accuracy.

In practical terms, that means identifying potential rendering issues, compliance red flags, or inbox placement risks before they dent open rates—or revenue.

Litmus Gets Deeper Deliverability Intelligence

Engage isn’t the only product update.

Validity also expanded deliverability visibility within Litmus, bringing aggregated inbox, spam, and tab placement data directly into the platform marketers already use to build and test campaigns.

For the first time, Litmus users can see where recent campaigns landed—primary inbox, promotions tab, or spam—without relying solely on ESP-level reporting.

That’s a notable development. Many email service providers provide high-level engagement metrics but limited transparency into inbox placement across ISPs. By embedding placement insights directly into Litmus, Validity is positioning itself as an end-to-end email intelligence ecosystem.

Unlimited Pricing: A Strategic Shift

Alongside the AI rollout, Validity introduced an unlimited pricing model across its solutions, eliminating seat caps and usage-based restrictions.

It’s a quiet but strategic move. In large enterprise environments, seat-based pricing often limits adoption across creative, operations, and compliance teams. Removing those barriers could increase platform penetration and encourage broader data sharing—fuel for the AI engine itself.

Why It Matters: Email’s AI Inflection Point

Email remains one of the highest-ROI marketing channels, yet it’s also one of the most operationally complex. Deliverability shifts constantly. Compliance regulations tighten. Content expectations rise. And now, generative AI is accelerating production speed—sometimes faster than quality control can keep up.

Engage enters a crowded martech landscape where AI copy tools, deliverability monitors, and testing platforms already exist. The difference Validity is betting on: consolidation plus predictive intelligence.

Rather than stitching together tools for content generation, inbox monitoring, and benchmarking, enterprise teams can operate inside a unified AI environment that flags risks, suggests optimizations, and surfaces revenue gaps automatically.

If the promise holds, Engage could transform email from a performance channel marketers react to into one they actively steer with AI guidance.

For an industry where a single inbox placement shift can mean millions in revenue impact, that predictive edge may be more than a convenience—it may become table stakes.

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