We build AI your business actually owns.
An AI agent team on retainer, an outbound engine built on real buying signals, plus voice, leadership, and product - built inside your organization and handed over. We build, deploy, and transfer capability to your team.
Two ways to move fast: build or sell.
Start with one of the two offers we run as a product: a full AI team on retainer, or an outbound engine built on real buying signals.
An entire team, for the price of a single hire.
Specialized AI agents working in parallel - build, design, integrations, QA - orchestrated by a senior human, with adversarial review before anything reaches production. One flat monthly retainer, no billable hours.
From buying signal to booked call, automatically.
An outbound engine that finds your best-fit accounts the moment they show intent and reaches the right person in their own language. Every message human-reviewed, sent from your own domain. Built with Everest Sales, and yours to run.
More ways we put AI to work.
Full services with their own playbooks. Every one ends the same way: your team running the system, not renting it.
Fractional Chief AI Officer
Voice AI Infrastructure
AI Sprint
Call QA
AI for PE / VC Portfolios
Mobile Development
Embed. Build. Transfer.
The same operating system runs underneath every service we offer.
Embed
We operate inside your structure, not from a slide deck. We learn your workflows, your constraints, and what each initiative actually has to achieve - before building anything.
Build
Production systems shipped in weeks, not quarters - agents, automations, and workflow transformations, tested internally before anything goes live.
Transfer
Capability, infrastructure, and data end up in your hands. Every engagement ends with your organization more capable than when we started.
Where we've put AI into production.
A sample of engagements across verticals. Most clients we can't name - the verticals and geographies are real.
Embedded with the product organization of a venture-backed enterprise software company. We built and shipped ML features - entity matching, intelligent classification, predictive recommendations - used daily by Fortune 500 operations teams.
Long-running embedded engineering inside a large-scale analytics platform serving global enterprises - AI-assisted reporting, internal tooling, and engineering work across the stack.
For a US health-technology company, we built the complete AI ingestion layer and the infrastructure that supports it - pipelines that turn health records, lab results, and indicators into clean, structured, AI-ready data, with the orchestration and observability to run them in production.
A complete outbound collections voice stack - adaptive scripts, AMD filtering, QA scoring, retry logic - built under the client's brand and transferred to their name. It replaced a 40-person dialing operation in six weeks; by week two the agent was outperforming the humans.
Fraud-pattern detection running on the collections and support lines of a digital bank - scoring, flagging, and notifying risk teams in real time. The detection layer alone paid for the engagement.
First-round screening calls for a high-growth e-commerce operation: from 1,200 manual calls a month to 18,000 automated ones - candidates scored, top profiles flagged, recruiters focused on closing.
Strategy and hands-on development with a US care-navigation company - turning AI from a roadmap item into shipped product, working alongside their technical team rather than around it.
For a US sports-tech startup, we're building the machine-learning vision layer of their training app - models that read live smartphone video, analyze form and outcomes in real time, and feed the AI coaching and gamified competition the product is built on.
Teams that execute, not present.
You work with the people who build.
No account managers, no handoffs, no junior bench. Every engagement is run by the two of us.
Federico Imparatta
A senior consultant operating on the international stage, with almost twenty years across product, data, and AI. Led AI delivery and explainability productization at Verusen, runs delivery and quality operations for Q CELLS North America, and leads data-platform modernization at SMG. Previously scaled SweatWorks from under $100K to $20M as COO - Inc 5000 three years running. Harvard Business Analytics Program. Guest professor of strategic AI at Universidad Católica Argentina.
imparatta.com → LinkedIn →
Martín Alcalde Gillespie
Computer engineer (Universidad de la República) and published AI researcher - deep reinforcement learning applied to robotics. Has led teams of 25+ engineers shipping across software, hardware, and firmware, and heads engineering on production voice-AI systems serving enterprise clients. Every technical decision at ataraxy runs through him.
LinkedIn →Small by design.
In the age of AI-assisted engineering, headcount is overhead. If the agency you're hiring has more than five employees, ask what you're paying for. We stay deliberately small - senior people, AI leverage, zero bureaucracy.
Everest Sales shapes our outreach and streamlines our communications with AI. Plus a network of trusted local agencies - we scale capacity to fit each engagement, without carrying the overhead.
Let's build something you'll own.
A 30-minute call. We map where AI can move the needle in your operation - and whether one of our services is the right fit.