Inferensys

Our Work

Case Studies

Over the last 4+ years, we've built a portfolio of work across industries and use cases. Explore how we've helped businesses integrate AI solutions to transform their operations and customer experiences.

Multi-Agent Orchestration Platform

Stallion turns an open-ended product request into a planned, assigned, and reviewable agent run.

The product keeps the important parts visible: what the agents will do, where the work is running, what changed, who can approve it, and what gets handed off at the end.

Next.jsReact 19Tailwind CSSSocket.IOE2B

Agentic SOC workflow

Security teams are looking at agentic SOC, AI alert triage, autonomous investigation, and SOC automation for a practical reason: analysts need better context before they act.

Northwall connects a GitHub source, builds repository context, shows an investigation graph, lets the analyst review the plan, streams the run, and turns approved findings into GitHub issues.

Next.js 15React 19Tailwind CSSHonoSocket.IO

Context, Search Engine & Memory Layer

Contextful gives AI coding agents a local way to find the right files, compress the evidence, and remember decisions across sessions.

It runs as a CLI and MCP server for Codex, Claude Code, Cursor, Windsurf, GitHub Copilot, VS Code, Cline, Roo Code, Continue, and Zed.

TypeScriptNode.jsModel Context ProtocolSQLiteFTS5

Multi-Modal Driver Monitoring System

AI Driver Safety is an in-cabin computer vision system for driver drowsiness detection, distraction detection, and phone-use detection.

It turns video into annotated clips, event logs, safety scores, and reports for fleet safety, ADAS, telematics, and automotive AI teams.

PythonOpenCVMediaPipe Face LandmarkerONNX RuntimeYOLO11

Contact

Talk to the team about your AI system.

Share what you are building, where you need help, and what needs to ship next. We will reply with the right next step.

01

NDA available

We can start under NDA when the work requires it.

02

Direct team access

You speak directly with the team doing the technical work.

03

Clear next step

We reply with a practical recommendation on scope, implementation, or rollout.

30m

working session

Direct

team access

Share the architecture, scope, and timeline so we can understand the work quickly.

NDA availableDirect team accessClear next step