About Wenable
WeGuard, our own product, manages 1.25M+ devices in production today, with an AI agent handling natural-language IT operations and 70% less time on routine ops. We are not selling a capability we read about. We are selling the discipline we already live: 12+ years of enterprise engineering, now pointed at the agentic era.
Why we exist
We build products from the ground up, for ourselves first and then for our partners, and then we have to operate them. WeGuard manages 1.25M+ devices today. That, not slideware, is why our claims survive a technical buyer's scrutiny: they are products, not pilots. Over the last few years we turned a decade of enterprise engineering toward applied agentic AI in real, regulated, messy domains, judged by the outcomes it ships, not the demos it promises.
Vision
A world where lean teams of experts, amplified by Gen AI used the right way, build products of real and lasting value: agentic systems trusted in production, governed by design, judged by outcomes.
A decade out, the hardest enterprise problems are solved by small crews who move mountains, not by headcount and not by pilots that never ship.
Mission
Put Gen AI to its right use: ship production agentic systems with humans in the loop, evals, observability, and governance baked in.
We build for ourselves, our clients, and our partners on 12+ years of enterprise engineering and our own AI products as proof, delivered by small teams of experts across Dallas, Houston, and India who own the outcome end to end.
Operating beliefs
Four beliefs, each pinned to a number or a shipped system. If a belief cannot point to something we already run, it does not belong here.
Small crews of senior engineers, each amplified by our own production agents, out-ship large teams at lower TCO. Hash, our SWE agent, has run 14,854 of our own engineering tasks at 45% zero-rework.
AI earns its place only when it ships with evals, observability, and an audit trail, on your infra. A demo that cannot be governed is not a product. WeGuard runs this way at 1.25M+ devices.
Human approval gates on irreversible actions, drift detection, and audit-trail IDs on every action are what make enterprises trust AI. ISO 9001 and ISO/IEC 27001 are independently audited.
We route to the right model instead of chasing the biggest, apply AI where it measurably moves the work, and say no where it adds risk without return. Right use of Gen AI, not every use.
How we build
This pipeline is the company. A CTO can interrogate every phase: we name the artifact each phase produces, not the adjective. We design AI systems the way an engineering org would, not the way a consultancy would describe one.
We frame the operating problem and write the success scorecard, the risk map, and the approval gates before any model is chosen. Business intent first, model second.
We design the agent workflow, the RAG and eval strategy, model routing, and approval gates on every irreversible action, with failure modes and escalation paths defined up front, checkpointed by humans.
We deploy into your stack with observability, drift detection, audit logs, runbooks, and a clean handoff. Every action carries an audit-trail ID and is 100% logged.
We operate from foundation models and fine-tuning, through infrastructure and vector stores, protocols (MCP, A2A), multi-agent orchestration, cognition (RAG, tool calling, planning, memory), and observability and governance, up to applications. Not a model behind a chatbot.
Proof, not slideware
We do not describe AI-native delivery, we show it. These are the agents that run our own engineering, marketing, and operations, each with its human approval gates visible, next to the production domains where the same method ships for customers. All of it is live, judged by outcomes.
14,854 tasks completed at 45% zero-rework, working across GitHub, Slack, and production. Our own engineering pipeline runs on it.
286 posts published reaching 1.2M, every send passing a human approval gate before it goes out. HITL by default.
Natural-language IT operations across 1.25M+ devices, every action carrying an audit-trail ID like wnble-vivi-09823.
247 trucks coordinated at 92.4% on-time, with 95% less manual log review and 40% fewer HOS violations in live ELD telematics.
WeGuard MDM/UEM with the ViVi agent: 1.25M+ devices, 70% less routine-ops time, 45% fewer support tickets. Live in production.
Driver-hours and DOT compliance intelligence: 95% less manual log review, 40% fewer HOS violations, one-click DOT-compliant reporting. Live in production.
How we are led
We are not going to show you stock headshots. We take whole problems across product, platform, AI, data, devops, and design as one accountable team, not staff-aug seats. The way we lead shows up in how we deliver, so that is what we put in front of you.
One accountable team across product, platform, AI, data, devops, and design. We take the outcome end to end, never thrown over a wall.
We build for ourselves first, then for partners. Our own engineering, marketing, fleet, and device operations all run on agents we built and govern.
Typed contracts, real tests, real CI/CD, and a 99.9% uptime SLA. The discipline a CTO checks in diligence is the discipline we lead with.
We are not going to show you stock headshots. We take whole problems across product, platform, AI, data, devops, and design as one accountable team, not staff-aug seats. The way we lead shows up in how we deliver: we build for ourselves first, run our own agents in production, and hold the line on rigor. That is what we put in front of you.
Global delivery
Three offices, one team on the same Slack, the same standards, and the same CI gates, owning the outcome end to end. Where the work happens never changes the bar it is held to.
Dallas, USA
Houston, USA
Hyderabad, India
Certifications and trust
Certifications de-risk the data-handling objection more than any adjective. We separate what is independently audited from what we build to per engagement, because overstating it is the fastest way to lose a technical buyer in diligence.
Independently audited
Quality management, independently audited. The process discipline behind every delivery.
Independently audited
Information security management, independently audited. The data-handling posture procurement teams check first.
Scoped per engagement
Scoped per engagement to where each applies, with audit trails and human-in-the-loop checkpoints built in. Not claimed blanket.
If the work needs product thinking, AI engineering, platform delivery, and governance in one accountable team, that is our lane. See how we deliver each layer on services, check the named deployments on cases, then talk to us.