Typeface

Typeface was named one of CRN’s 10 Salesforce ecosystem ISVs and partners to watch in the Agentforce era. Coming out of Dreamforce 2026, the recognition feels especially timely. Throughout the week, the conversation was increasingly about what happens after AI generates the content: how enterprises connect agents, data, workflows, and governance so marketing can actually move from insight to execution at scale. That’s the story CRN highlighted in its Dreamforce recap - calling Typeface one of the standout startups from the event and pointing to how Salesforce users can pair Typeface’s Brand Graph with Agentforce and Marketing Cloud to generate, deploy, and refine creative work directly within the Salesforce ecosystem. CRN also highlighted how teams can pull campaign and lead context from Salesforce, create on-brand assets, and automate campaigns across Agentforce, Slack, and Data 360 through Typeface. A great way to close out Dreamforce week and a strong signal of where the Salesforce ecosystem is headed next. Thank you to CRN for including Typeface on the list. Read the full article: https://lnkd.in/eAnGdJy7

Your brand guidelines are only the beginning. The real brand lives everywhere else. In the campaign that worked... The product phrase legal already approved. The regional nuance that changes the message. The performance signal that should shape the next brief. The instinct your best marketers have when something just does not sound right. That context matters even more when AI is doing the work. That is why we built Arc Graph - a living context graph connecting brand standards, approved assets, audience data, and the institutional knowledge that usually lives in people’s heads. It gives AI richer brand and business context before it begins meaningful work, so marketers are not left adding the brand back in after the fact. Because enterprise AI should not start from a generic prompt. It should start from your brand. Explore Arc Graph: https://bit.ly/4iIpHEh See it working end to end on September 30: https://bit.ly/4iI5FK6

We can’t wait to show you the Typeface Orchestration Engine live in action. Join us for a product walkthrough of Arc Graph, Arc Fabric, and Arc Loop, with plenty of time for live Q&A with the team behind the launch. You won’t want to miss this one, save your seat here: https://lnkd.in/eMRafqDZ

Picking a secure AI marketing tool now means more than checking for a compliance badge. A security certificate is a good start, but it doesn't cover the AI risks that matter most: whether a tool learns from company data, or lets off-brand claims slip out. Three simple questions cut through it: ✅ Is our data kept private and never used to train shared models? ✅ Are the AI's outputs checked for bias and easy to trace back? ✅ Can brand rules be enforced, with people approving what goes out? And a polished demo won't tell the complete story. A 30 to 60 day test drive on actual brand rules shows whether a tool holds up. Typeface applies brand rules automatically, checking every asset before it goes live. Read the full breakdown here: https://bit.ly/3Vj0ztW

Thank you to Salim Maherali, Satya Krishnaswamy and Annie Shea Weckesser for bringing this conversation to life at the Forbes CMO Summit. This is the shift at the heart of what we launched yesterday with the next generation of the Typeface Orchestration Engine: connecting AI, brand intelligence, governance, and human judgment across the way marketing actually works.

At the 2026 Forbes CMO Summit, Salim Maherali, chief customer officer and founding member, and Satya Krishnaswamy, field CTO at Typeface, shared why marketing leaders need AI, human judgment and brand governance working together from brief to launch. Sponsored by Typeface

Typeface Launches the Next Generation of its Orchestration Engine, With Adaptable AI Experiences for Humans and Agents “The shift is teaching AI to understand a brand deeply, build agents around how each team actually works, and get smarter as campaigns perform - closing the loop from intelligence to execution and back, so every campaign makes the next one better. And it points to experiences that adapt to whoever is on the other side, whether a person or an AI agent.” said Abhay Parasnis, Founder and CEO of Typeface. Read More: https://lnkd.in/dZFWFEmG #Typeface #OrchestrationEngine #Martech360 #news #brandintelligence #BrandAgent

Every marketing leader I talk to has landed on some version of the same problem. It is no longer whether AI can produce the work...it can. The issue is that the output often arrives without enough context — and then someone on the team has to put the brand back into it. Rewriting the phrasing. Catching the claim legal will not approve. Remembering that this market says it differently. Connecting what worked last time to what should happen next. That correction work is invisible in most productivity numbers. It is also enormous. What Typeface announced today is built around closing that gap. The next evolution of the Typeface Orchestration Engine gives AI deeper brand understanding before it acts, orchestrates work around how the organization actually operates, and learns from what happens after a campaign goes live. The goal is not simply more content. It is a marketing system that understands the brand, acts within the business, and gets smarter as it works. See how the Orchestration Engine works: https://lnkd.in/ePVMAzWg

The enterprise AI challenge is moving from useful outputs to connected systems. A model can generate an email, an ad, or a landing page. But enterprise marketing does not run on isolated assets. It runs on brand rules, audience data, campaign context, approval paths, compliance requirements, activation systems, and performance feedback. When those pieces stay disconnected, AI creates more work around the work. That is why the next phase of AI is orchestration. The latest Typeface Orchestration Engine is built around three connected parts of the marketing lifecycle: Deep brand knowledge before AI acts: So agents are grounded in approved brand context, not correcting for it after the fact. Bespoke orchestration across real enterprise workflows:So teams can work within the systems, approvals, governance requirements, and controls the business already depends on. Closed-loop optimization through Arc Loop: So campaign performance does not end in a dashboard. Real signals can feed back into the system, become reusable learning, and help inform what gets created next. For technical and field teams, this matters because scale is not just a generation problem. It is an integration problem, a governance problem, a feedback-loop problem. The future is not AI bolted onto old workflows. It is a system that understands the brand, operates within the business, preserves the controls enterprises need, and gets smarter as it works. https://lnkd.in/gJ-rg-8Y

AI knows how to write. But does it know your brand?    Your brand does not live in one document. It lives across guidelines, campaigns, approved assets, performance data, systems, workflows, regional nuance, and the judgment your teams have built over time. Foundational AI models only see pieces of it.    Today, we introduced the next evolution of the Typeface Orchestration Engine - built around three connected parts of the marketing lifecycle:    📍Deep brand knowledge through Arc Graph: Giving AI richer context before it starts doing the work.  📍Bespoke orchestration through Arc Fabric: Agents that understand how your organization actually works and can execute across those workflows.  📍Closed-loop optimization through Arc Loop: Bringing real campaign performance back into what happens next.  The goal is not simply more content. It is a marketing system that understands the brand, acts within the business, and gets smarter as it works. Explore what’s new: https://bit.ly/478nGu2  Join us live on September 30 for a conversation, product demo, and Q&A: https://bit.ly/4yR5aCi