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Now accepting Q3 2025 engagements. Limited spots available for enterprise AI deployments.
Reserve your spotSabalynx was founded on one conviction: enterprise infrastructure is too complex for humans to manage manually at scale. The teams that will win the next decade are the ones that hand routine operations to AI agents — and direct their human talent toward what only humans can do.
The conversation in the enterprise world has shifted from "How do we connect these tools?" to "How do we use AI Agents to run our enterprise infrastructure autonomously?"
We help organizations make that shift. By centering our practice on agentic AI and autonomous operations using the ServiceNow, Datadog, Okta, and Databricks stack, we position your enterprise at the absolute front of the market.
You aren't getting standard IT consulting. You are building the Self-Healing, Autonomous Enterprise.
Most consultancies bring generalist AI knowledge. We bring deep, hands-on expertise in the specific enterprise AI platforms that matter: ServiceNow's Now Assist, Datadog's LLM Observability, Okta's Identity Threat Protection, and Databricks' Mosaic AI.
We don't just recommend — we build, configure, train, and deploy. Our practitioners have shipped AI agents in production across financial services, healthcare, manufacturing, and technology companies.
We don't measure success in lines of code or tickets closed. We measure it in hours reclaimed, incidents resolved autonomously, and operational costs removed.
We never recommend adding an AI layer on top of a broken workflow. We redesign the workflow to be AI-native from the start.
Every AI agent we deploy is governed, authenticated, and monitored. Autonomous doesn't mean unaccountable.
Our practitioners operate at the intersection of AI engineering, enterprise architecture, and security. We build systems that actually work in production.
We don't hire generalists and call them AI experts. Every Sabalynx practitioner is certified in at least two of our four core platforms and has shipped AI agents in production.
Former SRE at a $30B financial services firm. Built the first autonomous incident remediation system that reached production at scale.
9 years in ServiceNow implementations. Specializes in transforming legacy ITSM shops into AI-native service operations.
ML engineer with background in NLP at a top-3 US bank. Led the first production deployment of a fine-tuned Llama model in a regulated financial environment.
Former identity practice lead at a Big 4 firm. Specialized in non-human identity governance before it was a category.
Full-stack AI engineer who builds the connective tissue between platforms. Expert in LangChain, vector search, and compound AI system design.
Bridges the gap between technical AI capabilities and enterprise organizational change. Ensures AI agent deployments actually get adopted.