See how AI works
in Software & Platforms

Engineers manually pieced together context across tools. Now, AI agents in Slack surface data and suggest fixes instantly.

Surveys missed 95% of data and took weeks to analyze. AI now scans 100% of interactions, identifying churn risks in seconds.

Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.

Search data kept in RAM required unsustainable hardware. A managed vector DB slashed costs and freed engineers to build AI agents.

Deal prep consumed 4 hours of manual research. Connected to internal apps, Claude helps reps build full strategies in just 45 minutes.

Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.

A sequential pipeline caused 7-second delays. A native speech-to-speech model cut latency to 800ms, enabling fluid, human-like dialogue.

Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.

Development dragged for weeks on raw prototypes. Claude now turns ideas into polished, production-ready applications in hours.

Manual reviews bottlenecked onboarding for 28 days. A GenAI pipeline now rewrites and enriches catalogs in under 24 hours.

Users prompt for feelings, not camera angles. AI now translates intent into technical plans, driving a 150% increase in share velocity.