Find the leverage
Map the work, find where AI can create real value, and leave with a focused opportunity plan instead of a pile of vague ideas.
Workflow audit · opportunity map
Builder mode: onBuilt forno one else.
One-of-one AI systems shaped around your company’s knowledge, workflows, standards, and ambitions.
Serious systems. Human spark.AI, made useful.
01AI consulting
Turn important work into useful AI systems.
Practical AI consulting for teams that want a working system, not another strategy deck. Start with one stubborn workflow and build from there.
Built for the people who know the work best.
Sales, support, operations, finance, people teams, and leadership all have valuable work trapped in handoffs, tabs, and tribal knowledge. We turn that work into a system your team can use.
Build the system
Turn the best opportunity into a working agent workflow, internal tool, or automation that fits the way your team already operates.
Prototype · implementation
Make it reliable
Add the context, approvals, tests, and proof your team needs to trust the system—and the documentation to keep running it.
Guardrails · handoff
02Product lab
We build our own systems, too.
Owned products are where Calugaru Labs tests new ways for people and agents to work together before those patterns reach client systems.
texOS
Personal AI operating system — one screen to manage life and command a team of AI agents. Vault-backed memory, wiki, and skills served to agents over MCP.
2026 - PresentOpen project
CRM
Ground-up rebuild of a modern CRM — records, pipelines, and views — built end-to-end with agentic workflows.
2026Private build
03Founder
Operator instinct. Engineering discipline.
Calugaru Labs was founded by Nik Calugaru after years of building AI-powered systems from inside go-to-market teams.
Nik bridges the business and technical sides of AI systems: how the work actually happens, where judgment belongs, and what proof a team needs before an agent earns trust.
Visit Nik’s portfolio04Work with Calugaru Labs
Bring us a workflow worth fixing.
Start with the work that is slow, repetitive, or stuck between people and tools. We’ll find the useful AI system inside it and build toward a real result.
