Databricks Just Rewrote the Rulebook for AI Agents — Are You Ready?
This week, AI agents moved from niche tools to powerful enterprise-grade assets. Databricks dropped its Agent Brickssuite and Lakebase, while startups and researchers reveal tools that scale domain-specific autonomy.
Inside: the must-know product launches, standout EA-level research, and a deep dive that exposes how companies can strategically deploy agents—not just experiment.
🤖 Breakthroughs & Launches
Databricks Agent Bricks & Lakebase
What: Databricks unveiled Agent Bricks, a no-code, data-grounded system that automatically evaluates and tunes AI agents for deployment. Paired with Lakebase, a Postgres-compatible operational database optimized for AI workloads.
Why it matters: Removes the siloed manual tuning phase—enterprises can now go from idea to production-ready agent in days, not months. Lakebase accelerates real-time data access, making agent interactions faster and more reliable.
AlphaSense Deep Research
What: AlphaSense introduced an autonomous agent for enterprise-grade financial research that scours web and proprietary sources to generate cited insights within minutes.
Why it matters: Representative of the new wave of task-automation agents that handle complex workflows—freeing users from routine digging and synthesis.
Kruti by Krutrim
What: Indian startup Krutrim launched Kruti, an “agentic” assistant capable of proactive task execution starting June 12 —prebuilt with autonomy baked in.
Why it matters: Highlights global momentum: not just APIs or chatbots, but agents that take initiative across markets and languages.
🧠 Research Radar
HASHIRU
Core idea: A hierarchical multi-agent architecture (“CEO” + “employees”) dynamically allocates tasks and compute based on costs, using local and cloud LLMs.
Impact: Introduces resource-aware autonomy—agents not only collaborate, but also manage themselves for cost-efficiency and performance.
AI Scientist‑v2
Core idea: Fully autonomous system that hypothesizes, experiments, analyzes data, and even authors papers—one submission already passed peer review.
Impact: Signals the dawn of self-driving scientific discovery. When agents can research independently, the implications for R&D speed and scale are profound.
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🔎 Deep Dive / Premium Insight
Databricks Just Rewrote the Rulebook for AI Agents — Are You Ready?
AI agents aren’t just chatbots—they’re becoming co-workers.
But many companies still treat them like optional assistants.
That’s changing fast.
This week’s Deep Dive reveals why Agent Bricks and Lakebase could mark a turning point, making AI agents practical and profitable.
Unlocking real value means understanding how to align data, workflows, and cost trade-offs—a strategy most pilots miss.
To access the full breakdown, including implications, analysis, and what happens next — unlock Premium access.