AI Strategy & Discovery
Workshops that find where AI actually pays off in your business. We map your workflows, score the opportunities, and leave you with a roadmap — whether or not you build with us.
AI & Automation Studio
Xryft designs, ships, and runs AI agents, automations, and custom software that take real work off your team's plate — from the first workshop to production, and after.
Now booking new projects · remote-first, working worldwide
Services
One team from strategy to ship — so you're not stitching together a consultant, a dev shop, and someone to keep it alive.
Workshops that find where AI actually pays off in your business. We map your workflows, score the opportunities, and leave you with a roadmap — whether or not you build with us.
Multi-step agents that plan, call tools, and act on outputs. Agentic systems fail in ways normal software doesn't — so we design for reliability first, demos second.
Back-office workflows that run themselves — n8n, Make, Zapier, or fully custom. We connect the systems you already use so data moves without anyone touching it.
LLM products built end to end: retrieval over your data, fine-tuned models, real-time voice agents — with evals that prove it works before your users have to.
Web and mobile products from MVP to scale — design, frontend, backend, infrastructure. Clean code, tested, deployed on a pipeline you own.
We drop into existing codebases and add AI where it makes sense — after an architecture audit, so the integration doesn't become tomorrow's tech debt.
Automations
Concrete, boring, valuable. Every row below is a workflow we can prototype on your real data in about two weeks.
Tickets classified, answered from your own docs, and escalated only when a human should decide.
Invoices, contracts, and forms — extracted, validated, and posted to your ERP without retyping.
Every lead enriched, scored, and greeted with a personalized draft — your CRM stays clean on its own.
Numbers pulled from every system into one morning brief — in Slack before anyone asks for it.
Calls answered in real time, callers qualified, meetings booked — around the clock, in a voice that sounds like yours.
Your docs, data, and policies answerable in chat — with citations, where your team already works.
Process
We front-load the thinking so the build is boring — in the good way.
01
A working session on your actual workflows. We leave with scope, a system design, and an honest call on whether AI helps at all.
02
A working slice on your real data — not slides. You watch it do the job before you commit to the full build.
03
Production build in weekly sprints: integrations, evals, security review, deployment on infrastructure you own.
04
Monitoring, maintenance, model updates, and improvements as volume grows. We stay accountable after launch.
Selected work
Production systems, not concept decks — across AI, automation, fintech, and Web3.
Voice AI
A real-time voice agent that runs structured screening interviews — listening, probing, and scoring candidates live.
LiveKit · FastAPI · React
AI Tooling
A benchmark and public leaderboard measuring how well AI coding agents handle real development tasks.
Python · LLM evals · Next.js
Fintech
An exchange-grade trading platform backend built to handle live order flow at scale.
Node.js · AWS Lambda · Postgres
Web3
Automated on-chain ETFs on Solana — portfolio strategies that rebalance themselves.
Rust · Anchor · Solana
Platform
Marketplace and developer dashboard rebuilt for the Kadena blockchain ecosystem.
Next.js · Pact · Node
DeFi
Smart vaults automating yield strategies on Berachain for Trax Finance.
Solidity · ERC-4626 · TypeScript
Who you're working with
Xryft is led by Mustafa Zahid — a full-stack and AI engineer who has shipped production systems for AI labs, ML platforms, and an international bank. The person you talk to is the person building your system, backed by trusted senior specialists when the scope calls for it.
We're remote-first and deliberately small: fewer projects, taken further.
FAQ
The questions every client asks before the first call — answered the way we'd answer on the call.
A lot — if the task has clear inputs and a way to verify the output. Triaging messages, extracting data from documents, drafting responses, updating systems, and answering questions over your own knowledge base are all dependable. Open-ended judgment calls still need a human in the loop, and we'll tell you which side of that line your use case sits on.
Yes — most of our work plugs into what you already run. We audit the current architecture first, then add a retrieval layer, an agent, or an automation without creating tech debt downstream. Greenfield builds are welcome too.
You see a working prototype on your real data in about two weeks. Most automations are in production within 2–6 weeks; full AI products typically ship in 8–13 weeks.
Fixed price when the scope is clear, time-and-materials when it needs to evolve — and we're transparent about which fits your situation and why. Either way, you get a number after a scoping call, not a surprise after a sprint.
We architect for isolation: private infrastructure where needed, no third-party exposure your policies don't allow, and strict access controls at the API and data layer. We're happy to sign an NDA before you share anything.
You do. All intellectual property — code, prompts, fine-tuned weights, documentation — transfers to you on completion, deployed on accounts you control.
Yes. We regularly embed with in-house teams to lead an AI workstream, fill a capability gap, or provide senior review on architecture. We adapt to your tools and workflow, not the other way around.
Book a 30-minute intro call. Come with the workflow that costs you the most time — we'll give you a straight read on what AI can take over, what it can't, and what we'd build first.
A 30-minute call. Bring your messiest workflow — we'll tell you honestly what AI can and can't do for it.