Releases

Databricks introduced Genie Code, an autonomous AI partner for data work, pipeline maintenance and model operations.

Perplexity launched Sandbox API for isolated code execution by AI agents.

Perplexity upgraded Search API with improved extraction and dynamic evaluation benchmarks.

Perplexity launched Agent API as a managed runtime for agentic workflows.

Meta published an infrastructure update describing four MTIA chips developed across two years for large-scale AI inference.

NVIDIA released the open 120-billion-parameter Nemotron 3 Super model for complex agentic AI systems.

Legora reported serving 800 law firms and in-house legal teams in more than 50 markets, supporting tens of thousands of lawyers daily.

Legora reported growing from 40 to 400 team members over the preceding year.

Legora raised $550 million in a Series D led by Accel to accelerate U.S. expansion.

Thinking Machines was reported to have grown from about 30 employees to roughly 120 over its first year.

Thinking Machines and NVIDIA announced a multi-year partnership to deploy at least one gigawatt of Vera Rubin systems, alongside an NVIDIA investment.

CoreWeave introduced more flexible cloud-capacity plans designed to match customer workload duration and deployment needs.

Hugging Face launched mutable, Xet-backed S3-like Storage Buckets for checkpoints, logs, traces, and intermediate AI data.

SpaceXAI released Grok 4.20 and a multi-agent variant through its platform.

Meta and World Resources Institute released a DINOv3-based global forest-canopy model with improved accuracy and detail.

Decagon launched Agent Workbench, an AI assistant for identifying and resolving agent issues.

Decagon launched Proactive Agents with persistent user memory and outbound voice capabilities.

Harvey evolved Workflow Builder into Agent Builder for reusable custom legal agents.

Harvey reported hundreds of thousands of agentic Deep Analysis reports and expanded its use in custom agent workflows.

Databricks redesigned AI Search with decoupled storage and compute to support billions of vectors at lower cost.

Scale Labs introduced repository-grounded rubrics for evaluating and reranking candidate software patches without executing tests.

Scale Labs introduced VeRO, a reproducible harness using versioned agent snapshots, controlled budgets, structured traces, and reference procedures.

Scale expanded SEAL into Scale Labs, a broader research organization focused on evaluation, agents, multimodal systems, post-training, deployments, and oversight.

The Information reported that Together AI's annualized revenue had hit about $1 billion, up more than 3x from mid-2025, as it held talks to raise about $1 billion. In July 2026 the company said its annual bookings had crossed $1.15 billion.

At AI Native Conf, Together announced FlashAttention-4, a reinforcement-learning API, ThunderAgent, ATLAS-2, and related research-to-production releases.