Riseup Labs
Dhaka-based AI-powered software firm offering some of the lowest delivery costs on this list.
Founded 2009 | Dhaka, Bangladesh | 51–200 employees
task-automationworkflow-integrationllm-integration
What is Riseup Labs?
Riseup Labs is an IT services company founded in 2009 and headquartered in Dhaka, Bangladesh, with roughly 175 employees delivering AI-powered software and broader digital transformation services. Its South Asian cost base makes it one of the more accessible options on this list for budget-constrained agent projects, led by founder and CEO Ershadul Hoque. As a smaller, regionally concentrated firm, it has a shorter enterprise-scale track record than the larger, longer-established competitors on this list.
Riseup Labs works primarily with clients in Retail & E-commerce, Technology & SaaS, Healthcare sectors. Its primary differentiator is: South Asian cost base combined with 15+ years of IT services history, aimed at budget-conscious agent projects.
Riseup Labs tech stack and services
PythonLangChainAWSReactNode.js
| Service area |
|---|
| Task Automation |
| Workflow Integration |
| LLM Integration |
Riseup Labs pricing
Short answer: Riseup Labs uses a fixed project, staff augmentation pricing approach. Minimum engagement starts at $10K (per company website; independently unverifiable).
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $10K (per company website; independently unverifiable) | Well-defined scope |
| Staff augmentation | Variable; depends on team size | Large programmes or team augmentation |
Riseup Labs does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Riseup Labs pros and cons
| Advantages | Things to consider |
|---|---|
| +South Asian cost base makes it one of the more budget-accessible firms on this list | -Smaller, more regionally concentrated team than larger global competitors on this list |
| +15+ years of IT services delivery history since founding in 2009 | -Fewer large-enterprise or regulated-industry public case studies than established Western firms |
| +Founder-led continuity under CEO Ershadul Hoque | -Time-zone distance from US/EU clients may require more asynchronous project management |
| +AI-powered software positioning suggests active investment in current AI tooling |
Riseup Labs vs alternatives
How Riseup Labs compares to the other top AI Agent Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Enterprises wanting a working agent MVP in a... | A 20+ person specialist bench with delivered case studies across legal automation, PE deal-sourcing, and ed-tech — broader proof-of-work than most agent-only shops on this list. | 4.8 | Full comparison |
| Tribe AI | Enterprises wanting frontier-model expertise, no in-house AI team. | A platform-plus-vetted-network model that staffs each engagement with engineers matched to the specific AI use case. | 4.6 | Full comparison |
| RTS Labs | Mid-market teams turning an AI pilot into production. | Architecture-and-guardrails focus aimed specifically at the pilot-to-production gap, not just initial prototyping. | 4.5 | Full comparison |
| Neurons Lab | Regulated financial services, compliance-fluent agentic AI. | AWS Advanced Tier partner status with named financial-institution delivery experience at a boutique headcount. | 4.5 | Full comparison |
| Grid Dynamics | Fortune 1000 enterprises, publicly-listed engineering partner. | Public-company scale (Nasdaq: GDYN) combined with an explicit, named agentic AI practice. | 4.4 | Full comparison |
| Markovate | Product teams with an existing generative-AI roadmap. | Generative AI and LLM development as the core practice, with agent work built as a natural extension rather than a separate offering. | 4.3 | Full comparison |
| Azumo | US companies, nearshore pricing, LangGraph/CrewAI/AutoGen. | Explicit, named production experience with LangGraph, CrewAI, and Microsoft AutoGen for multi-agent orchestration. | 4.3 | Full comparison |
| Kanerika | Organizations building agents on an existing data foundation. | Data-integration and analytics heritage means agents are built directly on top of governed data pipelines, not bolted on separately. | 4.2 | Full comparison |
| Master of Code Global | Brands needing conversational agents, two decades of dialogue... | Twenty years of conversational AI and chatbot delivery history predating the current agentic AI wave. | 4.2 | Full comparison |
| Matellio | Enterprises folding agents into cloud-native modernization. | Combines AI/agent development with broader enterprise cloud application engineering under one roof. | 4.1 | Full comparison |
| Deviniti | Atlassian-ecosystem enterprises, agentic workflow automation. | Two decades of enterprise systems-integration work, including deep Atlassian-ecosystem expertise, applied to agent workflow integration. | 4.0 | Full comparison |
| Azilen Technologies | Enterprises wanting full-spectrum agents, one vendor. | Covers the full agent complexity spectrum — single-task through multi-agent architectures — under one product-engineering practice. | 4.0 | Full comparison |
| Uvik Software | Startups wanting senior Python engineers, no overhead. | Python-and-Django engineering depth carried directly into AI and agent development, at boutique scale. | 3.7 | Full comparison |
| N-iX | Large enterprises, agents within cloud/data modernization. | Scale (2,400+ engineers) and a two-decade track record across cloud, data, and embedded systems, with AI/agent work layered on top. | 3.9 | Full comparison |
| Innowise | Enterprises wanting agents bundled with custom software. | Full-cycle software development scale (3,500+ engineers) applied to agentic AI as an extension of a broad existing practice. | 3.9 | Full comparison |
| Cogniteq | Cost-conscious buyers, boutique European team. | Boutique full-cycle development shop with two decades of Baltic-region delivery history at a lower cost base than Western European or US firms. | 3.7 | Full comparison |
| Codebridge Technology | .NET/web teams adding agents via their extension-team vendor. | .NET and web development specialization applied to agentic AI, aimed at teams already standardized on that stack. | 3.7 | Full comparison |
| EffectiveSoft | Enterprises wanting agents, established multi-region vendor. | Quarter-century of enterprise custom software delivery history combined with a dedicated, named AI agent development service line. | 3.8 | Full comparison |
| Belitsoft | Healthcare, fintech, e-learning — vertical AI experience. | Two decades of vertical experience in e-learning, healthcare, and fintech, applied to agent development in those same sectors. | 3.8 | Full comparison |
| SoluLab | Companies combining agentic AI with blockchain/IoT. | Cross-disciplinary practice spanning blockchain, IoT, and AI, useful for agents that need to interact with decentralized or device data. | 3.8 | Full comparison |
| Signity Solutions | Cost-conscious buyers, India-based multi-agent automation. | Explicit specialization in multi-agent collaborative systems for business process optimization at an India-based cost point. | 3.8 | Full comparison |
| *instinctools | Fortune 500 clients, German-American engineering partner. | A quarter-century of engineering history serving Fortune 500 clients, with dual German and US headquarters for transatlantic delivery. | 3.9 | Full comparison |
| Netguru | Product teams wanting design-grade agentic AI. | Digital-product consultancy discipline (design plus engineering) applied to agent development, not just backend automation. | 3.9 | Full comparison |
| Ideas2IT | Enterprises wanting agents, global product engineering partner. | Product engineering scale (800+ employees) combined with an explicit AI-and-innovation practice positioning. | 4.1 | Full comparison |
| Softermii | Product teams folding agents into web/mobile builds. | Full-cycle web and mobile application development discipline applied to agent-powered product features. | 3.7 | Full comparison |
| DevCom | Companies wanting full-lifecycle agentic AI delivery. | Full-lifecycle software delivery discipline — planning through production support — applied to agentic AI projects. | 3.7 | Full comparison |
| Intuz | Budget-conscious teams, production multi-agent systems. | Named production experience across four agent frameworks (LangGraph, CrewAI, AutoGen, n8n), including observability and guardrails as standard. | 3.7 | Full comparison |
| LeewayHertz | Enterprises wanting deep ERP/CRM multi-agent integration. | Deep multi-agent architecture and orchestration-framework selection experience, now combined with The Hackett Group's enterprise consulting network post-acquisition. | 3.9 | Full comparison |
| ValueCoders | Cost-sensitive enterprises, agentic AI via outsourcing. | Two decades of large-scale IT outsourcing capacity applied to agentic AI as part of a broad digital transformation portfolio. | 3.8 | Full comparison |
| Appinventiv | Enterprises wanting agents bundled with mobile engineering. | Large digital engineering scale (1,400+ employees) with offices across four countries beyond its India base. | 3.8 | Full comparison |
| Accenture | Large multinationals, governance-heavy transformation programs. | Unmatched global scale and named strategic partnerships (OpenAI, Microsoft/Avanade) for enterprise-wide agentic AI rollouts. | 4.2 | Full comparison |
| Cognizant | Large regulated enterprises, agentic AI via IT outsourcing. | Enterprise-scale AI-led automation (Cognizant Neuro) backed by a 340,000-person global delivery organization. | 4.1 | Full comparison |
| IBM Consulting | Enterprises on IBM's watsonx ecosystem, governed orchestration. | Combines its own agent orchestration platform (watsonx Orchestrate) with enterprise consulting and implementation at global scale. | 4.0 | Full comparison |
Riseup Labs FAQ
What is Riseup Labs?
Dhaka-based AI-powered software firm offering some of the lowest delivery costs on this list.
How much does Riseup Labs charge?
Riseup Labs uses fixed project, staff augmentation pricing. Minimum engagement starts at $10K (per company website; independently unverifiable). A discovery call is required to get project-specific quotes.
What tech stack does Riseup Labs use?
Riseup Labs works with Python, LangChain, AWS, React, Node.js. Primary industries served include Retail & E-commerce, Technology & SaaS, Healthcare.
Is Riseup Labs right for enterprise?
Startups needing a lower-cost entry into agentic AI. 51–200 team size. Key consideration: Smaller, more regionally concentrated team than larger global competitors on this list.
What are the best Riseup Labs alternatives?
The best alternatives to Riseup Labs depend on your use case. Top options are:
- Tensorway: a 20+ person specialist bench with delivered case studies across legal automation, pe deal-sourcing, and ed-tech — broader proof-of-work than most agent-only shops on this list.
- Tribe AI: a platform-plus-vetted-network model that staffs each engagement with engineers matched to the specific ai use case.
- RTS Labs: architecture-and-guardrails focus aimed specifically at the pilot-to-production gap, not just initial prototyping.
Compare Riseup Labs with other AI Agent Development companies
Riseup Labs vs Tensorway Riseup Labs vs Tribe AI Riseup Labs vs RTS Labs Riseup Labs vs Neurons Lab Riseup Labs vs Grid Dynamics Riseup Labs vs Markovate Riseup Labs vs Azumo Riseup Labs vs Kanerika Riseup Labs vs Master of Code Global Riseup Labs vs Matellio Riseup Labs vs Deviniti Riseup Labs vs Azilen Technologies Riseup Labs vs Uvik Software Riseup Labs vs N-iX Riseup Labs vs Innowise Riseup Labs vs Cogniteq Riseup Labs vs Codebridge Technology Riseup Labs vs EffectiveSoft Riseup Labs vs Belitsoft Riseup Labs vs SoluLab Riseup Labs vs Signity Solutions Riseup Labs vs *instinctools Riseup Labs vs Netguru Riseup Labs vs Ideas2IT Riseup Labs vs Softermii Riseup Labs vs DevCom Riseup Labs vs Intuz Riseup Labs vs LeewayHertz Riseup Labs vs ValueCoders Riseup Labs vs Appinventiv Riseup Labs vs Accenture Riseup Labs vs Cognizant Riseup Labs vs IBM Consulting