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Agilyti

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Engineering Pods You Own- Built & Operate at scale

Agilyti is an AI-native engineering services firm that builds and operates high-performance software engineering teams for US and European technology companies. We compete directly with staff augmentation by doing the one thing staff aug never does: owning delivery outcomes, not just supplying headcount. We work with CTOs, VPs of Engineering, and scaling enterprises to:

  • Min project size
    $25,000+
  • Hourly rate
    $50 - $99 / hr
  • Employees
    10 - 49
  • Year founded
    Founded 2023
  • Languages

Overview by:

Reviewer avatar
Zana Sahiti
Head of Recruiting Operations About the Team

3 Languages that we service

  • English
  • Albanian
  • Turkish

Service Lines
AI Development
35%
Custom Software Development
30%
IT Staff Augmentation
15%
Cloud Consulting & SI
10%
IT Managed Services
10%
Select Focus Area
AI Expertise
Chatbots & Conversational AI
30%
Machine Learning
30%
Natural Language Processing
30%
Cognitive Computing
10%
Application Platforms
Amazon Application Development Framework
15%
Azure Platform
15%
Google app engine
15%
Linux server
15%
Force
10%
Heroku
10%
Other app platform
10%
Windows server
10%
Cloud Computing Focus
AWS Cloud Consulting & Implementation
65%
Azure Cloud Consulting & Implementation
20%
Google Cloud
15%
AI Technologies & Models
Anthropic
80%
Open AI GPT-3
20%
AWS Consulting Services
AWS DevOps
30%
AWS Development
20%
AWS Machine Learning
20%
AWS Managed Cloud
15%
AWS Migrations
15%
Azure Consulting Services
Azure AI & Machine Learning
30%
Azure Development
25%
Azure DevOps
20%
Azure Analytics
15%
Azure Management & Governance
10%
Frameworks and CMS
NodeJS
30%
React
30%
VueJS
25%
React Native
10%
Django
5%
IT Managed Services Focus
Managed Software Application & Solutions
70%
IT Budgeting
20%
Software Evaluation
10%
Programming & Scripting
Typescript
30%
Rust
25%
Python
20%
JavaScript
15%
SQL
10%
Industries
Information technology
25%
Business services
20%
Financial services
20%
Supply Chain, Logistics, and Transport
20%
Medical
15%
Clients
Midmarket ($10M - $1B)
55%
Enterprise (>$1B)
25%
Small Business (<$10M)
20%

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Our Story

We are engineering operators who scale technical teams under pressure. Instead of a traditional body shop, we built Agilyti to give leaders a direct channel to elite Balkans talent. As an AI-native engineering services firm, we build, operate, and transfer software teams. Unlike staff-aug providers, we take full accountability for delivery outcomes, deploying managed engineering pods while handling all local compliance, payroll, and HR as Employer of Record.

Meet the Team

Andre Chapman

Andre ChapmanFounder & CEO

Andre directs commercial strategy and our pass-through pricing model. He aligns our delivery ecosystem to ensure cross-functional engineering pods map directly to the technical and financial goals of mid-market and enterprise operators.

Can Mehmet

Can MehmetChief Technology Officer

Can governs technical execution and engineering standards across all delivery layers. He defines our infrastructure benchmarks, steering pod development across cloud-native environments, production ML pipelines, and agentic AI frameworks.

Zana Sahiti

Zana SahitiHead of Recruiting Operations

Zana runs specialized talent pipelines and developer vetting frameworks. She is responsible for scoring, validating, and assembling the senior developers, data engineers, and infrastructure specialists who form our high-velocity project pods.

What Sets Us Apart

Our Values

By combining operator-led technical leadership with a hyper-focus on data and AI engineering, our team delivers production-first solutions that guarantee complete client asset ownership and absolute accountability for project delivery.

Quick Facts

Multilingual Team

3 years in business

Tools and Technology

Google Meet
Slack
ClickUp
Google Drive
Google Docs
Microsoft Word
GitHub
AWS
Figma
Adobe Creative Cloud
Discord

Commonly Asked Questions

We can have a fully managed engineering pod integrated into your roadmap and sprint cycles within 21 days of signature. Because we focus on speed and alignment, your new team will deliver its first sprint commit inside 8 days, making the entire operation sprint-ready in under 6 weeks.

We execute a deterministic, three-phase operational lifecycle engineered to prevent vendor lock-in and establish long-term system self-sufficiency: • Build: We deploy a senior engineering pod to build production-ready AI pipelines, agentic workflows, or cloud infrastructure using your native stack. All layers are declared via Infrastructure as Code (IaC). • Operate: Our pod manages live system operations, stabilizing performance. We configure full-stack observability, set drift detection thresholds, and optimize inference unit economics. • Transfer: We execute a risk-mitigated handover of all version-controlled Git repositories, CI/CD pipelines, managed infrastructure state files, deployment runbooks, and architectural blueprints with zero operational downtime.

Yes, that is our baseline delivery architecture. Most AI infrastructure initiatives stall because data workflows and ML deployments are siloed. Our engineering pods are cross-functional by design to ensure end-to-end pipeline velocity.

We don't measure success by how many hours we bill or how many warm bodies we put in seats. That's a staff-aug metric. Since we actually own the delivery outcome, we judge our performance by how fast your roadmap moves and how stable your team stays. First, we look at shipping speed and how quickly the team hits real velocity. Success means getting your pod fully integrated into your environment within 21 days, landing your first sprint commit inside 8 days, and maintaining your expected sprint cadence week after week. Second, we measure retention. Offshore talent doesn't do you any good if people rotate out every six months and take your institutional knowledge with them. We judge our operational health by our talent stability, anchoring our team retention against our founding blueprint of a sub-6% attrition rate. Finally, for our BOT clients, the ultimate metric is a clean handoff. Success means that when you are ready to take the keys, we transition a highly mature, self-sustaining team and a fully functional local entity onto your balance sheet without a single hitch.

We integrate rigorous security, governance, and compliance controls directly into your native infrastructure layer. Our pods configure strict role-based access controls and least-privilege permission architectures so that production data and internal systems are only accessible via secure, audited interfaces. Furthermore, all data ingestion pipelines, Model Context Protocol servers, and model evaluation suites are engineered to handle sensitive workloads safely to prevent unauthorized data retention or leakage. Finally, we build comprehensive, deterministic audit trails and state-machine logging across your workflows, giving your internal compliance teams full visibility into every automated decision and data transaction.

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