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Blu Dot surpasses 2,000% ROAS with self-serve CTV ads
Home furniture brand Blu Dot blew up on CTV with help from Roku Ads Manager. Here’s how:
After a test campaign reached 211,000 households and achieved 1,010% ROAS, the brand went all in to promote its annual sales event. It removed age and income constraints to expand reach and shifted budget to custom audiences and retargeting, where intent was strongest.
The results speak for themselves. As Blu Dot increased their investment by 10x, ROAS jumped to 2,308% and more page-view conversions surpassed 50,000.
“For CTV campaigns, Roku has been a top performer,” said Claire Folkestad, Paid Media Strategist, Blu Dot. “Comping to our other platforms, we have seen really strong ROAS… and highly efficient CPMs, lower than any other CTV partner we've worked with.”
Using Roku Ads Manager, the campaign moved from a pilot to a permanent performance engine for the brand.
What's in Today?
- ⚛️ Physics AI Lands in the Enterprise
- 📚 Arcitecta Targets Microsoft 365 Governance
- 🧠 Weaviate and Pinecone Push the RAG Stack
- 🔄 Pervaziv AI Connects Workflows Everywhere
- 🚀 OpenAI Claims Efficiency Gains with Jalapeño
- 🏗️ Empyrion Funds Taipei Data Centre Build
- 🌐 Rezolve Ai Gets Google Cloud Attention
- 🏝️ Digital Realty Expands Singapore Capacity
- ♻️ Digital Realty Bets on Sustainable Compute
- 🧩 Telerik Maps the Modern AI Stack
⚛️ Physics AI Lands in the Enterprise
Startup Accelerated Understanding has launched an enterprise-focused physics AI model built for complex scientific simulations and industrial environments, signaling a push beyond generic copilots into domain-specific reasoning. That move could reshape how engineering teams test designs, model failure modes, and accelerate high-stakes R&D workflows.
Enterprise AI is moving deeper into specialized scientific work, not just office productivity.
Hire Ava, the AI BDR built for enterprise
Ava is the first AI BDR to run outbound end to end, finding leads or ingesting your CRM accounts, sending personalized emails on your reps' behalf, and booking meetings, autonomously or on copilot. She runs outbound for DoorDash and Grammarly. She's SOC 2 Type II audited, SSO and GDPR ready.
📚 Arcitecta Targets Microsoft 365 Governance
Arcitecta’s Mediaflux Connect 365 gives universities a new way to manage Microsoft 365 data with active governance and long-term storage optimization. The pitch is practical: keep collaboration data accessible, compliant, and cost-controlled while reducing sprawl across sprawling academic environments.
Data governance is becoming a strategic layer, not just an IT cleanup task.
🧠 Weaviate and Pinecone Push the RAG Stack
The latest AI Toolchain newsletter highlights Weaviate vector database release 1.39.1 alongside Pinecone Nexus RAG platform updates, underscoring how quickly retrieval infrastructure is evolving. These changes matter because better indexing, search, and retrieval directly improve the quality and reliability of AI apps built on enterprise knowledge.
The retrieval layer is now a competitive advantage in AI application design.
🔄 Pervaziv AI Connects Workflows Everywhere
Pervaziv AI has introduced Cortex Connect to sync enterprise AI workflows across mobile, browser, and Visual Studio Code. That broad surface area is aimed at developers who need the same AI context to follow them from coding to review to execution without losing continuity.
AI platforms are winning by meeting developers inside every workflow, not forcing them into one interface.
AI in financial services requires real trust and governance. Watch how Fin and Plaid are collaborating to give customers faster, more secure, and more personalized experiences, without giving up control. Watch now.
🚀 OpenAI Claims Efficiency Gains with Jalapeño
OpenAI’s Jalapeño chip results present benchmark data showing leading efficiency and lower latency against rival GPUs, a notable move in the race to control inference economics. If the results hold up in real deployments, they could influence how AI providers think about custom silicon, cost, and performance.
Inference hardware is becoming just as strategic as the models running on it.
🏗️ Empyrion Funds Taipei Data Centre Build
Empyrion Digital has secured financing for a 7MW TW1 data centre in Taipei’s Neihu district, advancing its Asian infrastructure expansion. The project adds capacity in a market where demand for reliable digital backbone and regional cloud support continues to intensify.
Capital is still flowing toward infrastructure that can support the next wave of AI and cloud demand.
🌐 Rezolve Ai Gets Google Cloud Attention
Rezolve Ai says Google selected its distributed database technology for Google Cloud Web3 blockchain datasets and AI data infrastructure, a partnership-style validation that could raise the profile of its core platform. The implication is broader than one deal: scalable data architecture remains central to blockchain and AI integration.
Data infrastructure vendors are competing to become the plumbing beneath next-generation cloud systems.
🏝️ Digital Realty Expands Singapore Capacity
Digital Realty has been chosen to develop 50 MW of new capacity on Singapore’s Jurong Island, adding AI-ready and low-carbon infrastructure to a key regional hub. The project strengthens Singapore’s position as a landing zone for compute-intensive workloads that need both scale and sustainability.
AI growth is increasingly tied to power-efficient data center buildouts in strategic locations.
♻️ Digital Realty Bets on Sustainable Compute
Digital Realty’s Jurong Island project emphasizes sustainable, AI-optimized capacity for Singapore’s digital economy, showing how data center operators are blending environmental goals with performance demands. As AI workloads rise, energy efficiency is becoming a core part of infrastructure competition.
Low-carbon compute is now a market requirement, not a branding advantage.
🧩 Telerik Maps the Modern AI Stack
Telerik’s breakdown of the modern AI stack places vector databases at the center of knowledge and retrieval for embeddings, reinforcing how essential storage and search have become to usable AI systems. For builders, that means model choice alone is no longer enough; retrieval architecture matters just as much.
The companies that master retrieval will shape how useful AI feels in practice.
What trends are you tracking? Reply with your take, or send this to a colleague shaping AI strategy.