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Software That Thinks

Off-the-shelf software forces your business into someone else's workflow. We build custom software with AI and automation woven into the architecture — not bolted on as an afterthought. Our engineering teams deliver production-grade applications that use machine learning, natural language processing, and intelligent automation to solve problems that traditional software cannot. From internal tools that eliminate manual data processing to customer-facing products powered by predictive models, every system we build is designed to learn and improve over time.

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Software That Thinks

Sprint Outcome

3.4×

Median 12-month ROI across delivered roadmaps.

Pilots Shipped

140+

Agents and GenAI products in production today.

Board Approval

92%

of sprint roadmaps green-lit on first reading.

Time to Clarity

5days

From first interview to signed 90-day plan.

Well-structured AI & automation solutions built for your needs

Modernize and automate
internal operations

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Deploy AI agents
trained on your data

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Scale your platform
with structured engineering

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Design your first MVP product

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Launch MVP systems with rapid sprints

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Their structured execution and technical depth helped us launch faster than expected. The architecture they designed has scaled seamlessly as our user base grew.

Client

Ola Olusoga

FSL Learning Platform

Experienced Experts for Your Website Development

See how our developers turn complex requirements into high-quality digital success stories.

Institutional Website Development for Web3 Company

Institutional Website Development for Web3 Company

Block DB required a fast, secure, and scalable web environment. Arounda delivered performance-focused web development with minimal JavaScript above the fold, optimized load speed, AA-level accessibility, and a clean code structure ready for future product and content expansion.

Operational outcomes define impact.

Your operational success defines our impact. Every solution is designed to directly improve efficiency, retention, and scalability.

35%

Average manual process reduction

Our automation framework for enterprise banking significantly reduced workflow bottlenecks and improved cross-team coordination.

Faster deployment cycles

Optimized onboarding and platform architecture for mobility and AI-based education platforms improved adoption and retention rates.

27%

Increase in user engagement

AI-powered systems continue to deliver long-term value through structured implementation and continuous iteration.

Our partners find numerous
reasons to love us

C

Their technical expertise and structured process were instrumental in turning our complex requirements into a secure, scalable system.

Nick

Nick

Founder, Scale App

C

Zylo understood our ticketing infrastructure challenges immediately. The solution they built handled our peak-load events flawlessly.

James

James

CTO, Tixbase

C

Building DeFi infrastructure requires precision and deep domain knowledge. Zylo delivered both without compromise.

Etienne

Etienne

Co-founder, MYSO Finance

C

From concept to production, Zylo's execution was exceptional. They challenged our assumptions and delivered a more robust solution than we had imagined.

Alex

Alex

Product Lead, Enzyme

C

They understood our operational complexity immediately and structured the solution beyond our expectations. Delivery was precise and efficient.

Sarah

Sarah

CEO, FinTrack

C

Throughout the engagement the Zylo team consistently adapted to evolving requirements. Their technical depth and execution speed were exceptional.

Marcus

Marcus

Founder, DeepStack

If you're ready to
compound, we're ready to
build.

Tell us what you're trying to make possible. We respond within 48 hours, and screen against fit before we ever quote a number.

Practice · AI · Automation · Product
Founded 2021 Founder lead
Team 22 senior operators

Turning projects into long-term
partnerships

Orchestrator & multi-agent systems

Orchestrator & multi-agent systems

Coordinate multiple specialized agents to manage complex, cross-functional operations. Acting as a unified intelligence layer, these systems enable seamless collaboration and continuous optimization across business workflows.

Engagement modelYou own it →
Predictive & decision intelligence agents

Predictive & decision intelligence agents

Analyze real-time and historical data to forecast outcomes and recommend next steps. From sales forecasting and demand planning to risk scoring and resource allocation, these agents enable data-driven decisions that improve efficiency and measurable results.

Architecture postureYear three first
Conversational & experience agents

Conversational & experience agents

Deliver natural, human-like communication through chat, voice, or email to enhance both customer and employee experiences. These agents manage support tickets, meeting reminders, order updates, and onboarding queries, ensuring 24/7 responsiveness and consistent service quality

Operating modelPods, not crews
Ownership over outsourced AI

Ownership over outsourced AI

You hold the model, the data, the prompts, the eval harness. We hand the keys back the day the system goes live

Engagement modelYou own it →
Systems over hacks

Systems over hacks

An impressive prompt is not a product. We architect the boring, durable plumbing that makes AI compound rather than decay.

Architecture postureYear three first
Product thinking, not project thinking

Product thinking, not project thinking

Every system we build has a user, a metric, and a roadmap not a Gantt chart and a sign-off date. Outcomes outlast deliverables.

Operating modelPods, not crews

AI agent use cases across industries

Drive accuracy, compliance, and data-driven decision-making across financial operations.

Automating reporting, reconciliation, and compliance tracking.

Detecting anomalies in transactions to prevent fraud.

Forecasting financial trends and credit risks with predictive analytics.

Streamlining customer onboarding and support through conversational agents.

Coordinating multi-agent systems for portfolio management and audit workflows.

Financial Services

Frequently Asked Questions

We work across the ML stack — TensorFlow, PyTorch, scikit-learn, LangChain, OpenAI APIs, and custom model development depending on the use case.
An MVP with a single AI capability typically takes 8-12 weeks. A production system with multiple models, integrations, and compliance requirements can take 16-24 weeks.
Not always. We can start with pre-trained models or public datasets and fine-tune as your proprietary data becomes available.
Every deployment includes monitoring dashboards and a retraining schedule so model performance does not degrade over time.
Yes. We frequently add AI capabilities to existing applications via APIs without requiring a full rebuild.