Contact Devs Core
Get a custom proposalAI that works inside the systems you already run.
Devs Core builds governed AI agents — agents that act inside the software a business already runs, under permissions its owners control.
Most AI pilots don't fail because the model is weak. They fail because nobody can safely let an agent touch the system of record. Gartner expects over 40% of agentic AI projects to be cancelled by the end of 2027. The blocker is rarely capability. It's trust.
So we build the access layer first. Scoped permissions, so an agent only sees what it should. Reads pass freely. Writes wait for a named human to approve them. Every call is logged. The question we answer isn't "can you build it" — it's "can I let it near my ERP."
What we do:
• AI Agent Development & Agentic Systems
• AI Systems Integration — an agent-access layer over your ERP, CRM or inventory
• AI Workflow Automation
• Generative AI & RAG
• AI Build Rescue & Hardening — audit and repair apps built fast with AI
• AI Strategy & Readiness — a paid, written verdict on what to automate, what to buy, and what to leave alone
Underneath sits ordinary engineering discipline: custom software, web and mobile, UI/UX, and an in-house security specialist. You own 100% of the source code, always.
Proof over adjectives. We automated the support ticket system for a Series C startup and cut their ticket volume by 40%. We built a member portal serving 10,000 members for a national professional institute — four months, including data migration. Platforms we've built serve 100,000+ users, with systems running in production for 3+ years.
Founded 2022. Based in the US and Bangladesh, with clients across the USA, Germany, Australia, Canada and Bangladesh.
GitHub Technology Partner · Google for Startups · Microsoft for Startups · AWS for Startups
contact@devs-core.com · devs-core.com
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Min project size
$5,000+
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Hourly rate
$25 - $49 / hr
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Employees
10 - 49
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Locations
Geneva, FL
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Year founded
Founded 2022
1 Locations
- Geneva , FL
- AI Agents
- 25%
- AI Development
- 15%
- Web Development
- 15%
- AI Expertise
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- Computer Vision
- 20%
- Machine Learning
- 10%
- Robotics
- 10%
- Application Platforms
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- Linux server
- 40%
- Amazon Application Development Framework
- 30%
- Azure Platform
- 20%
- Other app platform
- 10%
- AI Agent Development Focus
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- AI Agent Platforms & Builders
- 60%
- AI Agent Frameworks
- 20%
- Voice AI Agents
- 20%
- AI Agent Purpose Focus
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- Customer Service AI Agents
- 20%
- Productivity AI Agents
- 20%
- Research AI Agents
- 20%
- Business Intelligence AI Agents
- 10%
- Data Analysis AI Agents
- 10%
- Finance AI Agents
- 10%
- Sales & Lead Generation AI Agents
- 10%
- AI Platform Integration Focus
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- Salesforce AI Integration
- 30%
- Hubspot AI Integration
- 20%
- Google Workspace AI Integration
- 10%
- Gumloop AI Integration
- 10%
- Notion AI Integration
- 10%
- Squarespace AI Integration
- 10%
- Wix AI Integration
- 10%
- AI Technologies & Models
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- Open AI GPT-3
- 30%
- Anthropic
- 15%
- Codegeex
- 10%
- Cohere
- 10%
- Hugging Face Bloom
- 10%
- Open AI Dall-E 2
- 10%
- Stable Diffusion
- 10%
- GPT-Neox
- 5%
- CMS Focus
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- WordPress CMS
- 67%
- Adobe Experience Manager CMS
- 33%
- Frameworks and CMS
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- Django
- 30%
- Flutter
- 14%
- NodeJS
- 14%
- Other frameworks and CMS
- 14%
- React
- 14%
- React Native
- 14%
- Mobile Focus
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- Enterprise Mobile App Development
- 20%
- Consumer Mobile App Development
- 10%
- Mobile Commerce
- 10%
- Mobile Platforms
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- Programming & Scripting
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- JavaScript
- 20%
- Python
- 20%
- SQL
- 20%
- Java
- 10%
- Kotlin
- 10%
- PHP
- 10%
- XML
- 10%
- Consumer products & services
- 20%
- Financial services
- 20%
- Business services
- 15%
- eCommerce
- 15%
- Manufacturing
- 10%
- Medical
- 10%
- Real estate
- 10%
- Midmarket ($10M - $1B)
- 50%
- Small Business (<$10M)
- 30%
- Enterprise (>$1B)
- 20%
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Our Story
An AI studio out of Dhaka and Florida that mid-sized companies trust with their systems of record.
Not the biggest agency, and not a body shop. A studio with a small number of clients per sector, its own products in production to learn from, and a published standard for how an agent is allowed to act. We want the governed-agent argument to be the normal way this is done — and we would rather be early and provably right than large and vague.
Meet the Team
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