AI & Automation Studio

The work runs itself.

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

EMAIL CRM SHEETS CALLS Xryft ENGINE REPLY SENT CRM UPDATED REPORT SENT
  • Claude & GPT integrations
  • AI agents
  • RAG pipelines
  • n8n / Make / Zapier
  • Voice agents
  • LLM evals
  • Fine-tuning
  • Next.js & React
  • React Native
  • FastAPI & Node
  • Postgres
  • AWS
  • Web3 & smart contracts

Services

Everything between the idea and it running in production.

One team from strategy to ship — so you're not stitching together a consultant, a dev shop, and someone to keep it alive.

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.

  • Use-case mapping
  • Feasibility
  • Roadmap

AI Agents & Agentic Systems

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.

  • Tool-calling agents
  • Guardrails
  • Human-in-the-loop

Business Automations

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.

  • n8n / Make
  • API integrations
  • Approval flows

Custom AI Development

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.

  • RAG
  • Voice agents
  • LLM evals

Product Engineering

Web and mobile products from MVP to scale — design, frontend, backend, infrastructure. Clean code, tested, deployed on a pipeline you own.

  • Next.js / React
  • FastAPI / Node
  • Cloud & CI/CD

AI Integration & Modernization

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.

  • Architecture audit
  • Retrieval layers
  • Security & privacy

Automations

The work we take
off your plate.

Concrete, boring, valuable. Every row below is a workflow we can prototype on your real data in about two weeks.

Support triage

Tickets classified, answered from your own docs, and escalated only when a human should decide.

InboxClassifyDraftHuman OKSend

Document processing

Invoices, contracts, and forms — extracted, validated, and posted to your ERP without retyping.

PDFExtractValidateERP

Lead operations

Every lead enriched, scored, and greeted with a personalized draft — your CRM stays clean on its own.

FormEnrichScoreCRMOutreach

Reporting

Numbers pulled from every system into one morning brief — in Slack before anyone asks for it.

DatabasesAggregateSummarizeSlack 8am

Voice agents

Calls answered in real time, callers qualified, meetings booked — around the clock, in a voice that sounds like yours.

CallConverseQualifyCalendar

Internal copilots

Your docs, data, and policies answerable in chat — with citations, where your team already works.

QuestionRetrieveCited answer

Process

No code until
it's the right code.

We front-load the thinking so the build is boring — in the good way.

  1. 01

    Discover

    A working session on your actual workflows. We leave with scope, a system design, and an honest call on whether AI helps at all.

    ~1 week

  2. 02

    Prototype

    A working slice on your real data — not slides. You watch it do the job before you commit to the full build.

    1–2 weeks

  3. 03

    Ship

    Production build in weekly sprints: integrations, evals, security review, deployment on infrastructure you own.

    4–10 weeks

  4. 04

    Run

    Monitoring, maintenance, model updates, and improvements as volume grows. We stay accountable after launch.

    Ongoing

Selected work

Things we've shipped.

Production systems, not concept decks — across AI, automation, fintech, and Web3.

Voice AI

AI Voice Interviewer

A real-time voice agent that runs structured screening interviews — listening, probing, and scoring candidates live.

LiveKit · FastAPI · React

AI Tooling

IDE-Bench

A benchmark and public leaderboard measuring how well AI coding agents handle real development tasks.

Python · LLM evals · Next.js

Fintech

MarketX Pro

An exchange-grade trading platform backend built to handle live order flow at scale.

Node.js · AWS Lambda · Postgres

Web3

Lyra

Automated on-chain ETFs on Solana — portfolio strategies that rebalance themselves.

Rust · Anchor · Solana

Platform

Kadena Developer Platform

Marketplace and developer dashboard rebuilt for the Kadena blockchain ecosystem.

Next.js · Pact · Node

DeFi

BeraTrax Vaults

Smart vaults automating yield strategies on Berachain for Trax Finance.

Solidity · ERC-4626 · TypeScript

Who you're working with

The person you talk to is the person who ships it.

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.

Years shipping production software
4+
Products built and launched
8+
AI labs & platforms worked with
3
Response time, worldwide
24h

FAQ

Straight answers.

The questions every client asks before the first call — answered the way we'd answer on the call.

What can AI agents actually do reliably today?

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.

Can you build on top of our existing systems?

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.

How long until something is live?

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.

How do you price projects?

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.

What happens to our data?

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.

Who owns the code and the models?

You do. All intellectual property — code, prompts, fine-tuned weights, documentation — transfers to you on completion, deployed on accounts you control.

We already have developers. Can you work with them?

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.

How do we start?

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.

Let's find the work
you shouldn't be doing.

A 30-minute call. Bring your messiest workflow — we'll tell you honestly what AI can and can't do for it.