Infosys vs Riseup Labs: full comparison for 2026
Quick verdict
Infosys (3.1/5) edges ahead of Riseup Labs (2.9/5) overall. Infosys is the better choice for enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership. Riseup Labs is the stronger option for highly cost-sensitive buyers who need ISO-certified process rigor at South Asian delivery rates. The right choice depends on your project size, budget, and required tech stack.
Infosys vs Riseup Labs: head-to-head summary
| Criterion | Infosys | Riseup Labs |
|---|---|---|
| Founded | 1981 | 2009 |
| HQ | Bangalore, India | Dhaka, Bangladesh |
| Team size | 300000 | 51-200 |
| Rating | 3.1 / 5 | 2.9 / 5 |
| Best for | Enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership | Highly cost-sensitive buyers who need ISO-certified process rigor at South Asian delivery rates |
| Pricing model | Retainer, dedicated team, T&M | Fixed project, staff augmentation |
| Min. engagement | $150K | $8K |
| Primary tech stack | GCP, AWS, Azure | Python, AWS, Node.js |
| Industries served | Fintech, Retail, Telecom, Manufacturing | Retail, SaaS, Fintech |
Infosys vs Riseup Labs: overview
Infosys
Infosys was founded in 1981 by seven co-founders including N.R. Narayana Murthy and is headquartered in Bangalore, India, with over 300,000 employees. The firm launched more than 200 enterprise AI agents through its Infosys Topaz AI offerings in partnership with Google Cloud's Vertex AI Platform, and its Agentic Foundry delivers pre-built agents, open frameworks, and responsible AI tools on retainer or dedicated-team terms.
Riseup Labs
Riseup Labs was founded in 2009 and is headquartered in Dhaka, Bangladesh, with roughly 51-200 employees (174 reported directly). The company is ISO 9001 and 27001 certified and provides IT services and technology solutions including AI-driven automation as part of its digital transformation practice on fixed-project or staff-augmentation terms.
Services and capabilities: Infosys vs Riseup Labs
| Capability | Infosys | Riseup Labs |
|---|---|---|
| Workflow integration | ✗ | ✓ |
| Enterprise automation | ✓ | ✗ |
| Task automation | ✗ | ✓ |
| Agent orchestration | ✗ | ✗ |
| LLM integration | ✓ | ✗ |
| Customer support agents | ✗ | ✓ |
Tech stack comparison: Infosys vs Riseup Labs
| Framework / platform | Infosys | Riseup Labs |
|---|---|---|
| LangChain | N/A | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: Infosys vs Riseup Labs
| Criterion | Infosys | Riseup Labs |
|---|---|---|
| Minimum engagement | $150K | $8K |
| Engagement models | Retainer, Dedicated team, T&M | Fixed project, Staff augmentation, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Infosys vs Riseup Labs
| Dimension | Infosys | Riseup Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Retail, Telecom | Retail, SaaS, Fintech |
| Best use cases | Pre-built enterprise agent deployment (Topaz), Google Cloud Vertex AI agent integration | Budget-friendly AI automation services, ISO-certified secure delivery |
| Typical project type | Retainer | Fixed project |
Infosys vs Riseup Labs: pros and cons
| Infosys | |
|---|---|
| + | 45+ years of enterprise IT services history |
| + | 200+ pre-built enterprise agents (Topaz) already launched, backed by a named Google Cloud partnership |
| + | 300,000+ employees support the largest, most complex global service programs |
| - | Very high minimum engagement puts it out of reach for all but the largest enterprise buyers |
| - | Massive scale means minimal boutique-style senior-partner attention on individual engagements |
| Riseup Labs | |
|---|---|
| + | ISO 9001 and 27001 certification is uncommon at this price tier and signals process/security discipline |
| + | Low minimum engagement suits budget-constrained buyers |
| + | 15+ years of operating history in a growing South Asian tech hub |
| - | AI-agent-specific service case studies are limited relative to established Western/EU competitors |
| - | Smaller team (51-200) and single-country base limit capacity for very large distributed programs |
Who should choose Infosys?
Infosys is the right choice for enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership.
200+ named enterprise AI agents already launched via Topaz, built on Google Cloud's Vertex AI Platform. Minimum engagement starts at $150K. Works best with clients in Fintech, Retail, Telecom, Manufacturing.
Who should choose Riseup Labs?
Riseup Labs is the right choice for highly cost-sensitive buyers who need ISO-certified process rigor at South Asian delivery rates.
ISO 9001 and 27001 certification brings documented process/security rigor at a low-cost delivery base. Minimum engagement starts at $8K. Works best with clients in Retail, SaaS, Fintech.
Decision matrix: Infosys vs Riseup Labs
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Riseup Labs |
| You need a large dedicated team for an ongoing programme | Infosys |
| Your budget is at the lower end | Riseup Labs |
| You need specialist depth in a specific vertical | Infosys |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Infosys vs Riseup Labs
| Use case | Infosys fit | Riseup Labs fit | Winner |
|---|---|---|---|
| Pre-built enterprise agent deployment (Topaz) | Strong | Limited | Infosys |
| Google Cloud Vertex AI agent integration | Strong | Limited | Infosys |
| Budget-friendly AI automation services | Limited | Strong | Riseup Labs |
| ISO-certified secure delivery | Limited | Strong | Riseup Labs |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Infosys vs Riseup Labs
Infosys (3.1/5) is the stronger overall choice for most AI Agent Development projects. 200+ named enterprise AI agents already launched via Topaz, built on Google Cloud's Vertex AI Platform. It is best for enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership.
Riseup Labs (2.9/5) is the better choice when highly cost-sensitive buyers who need ISO-certified process rigor at South Asian delivery rates. If your situation matches those criteria, Riseup Labs is a competitive option.
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Infosys vs Riseup Labs FAQ
Is Infosys better than Riseup Labs?
Infosys (3.1/5) scores higher overall, but "better" depends on your use case. Infosys is better for enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership. Riseup Labs is better for highly cost-sensitive buyers who need ISO-certified process rigor at South Asian delivery rates.
How do Infosys and Riseup Labs differ in pricing?
Infosys uses retainer, dedicated team, t&m pricing with a minimum engagement of $150K. Riseup Labs uses fixed project, staff augmentation pricing with a minimum engagement of $8K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Infosys or Riseup Labs?
Infosys is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between Infosys and Riseup Labs?
Infosys's primary differentiator is: 200+ named enterprise ai agents already launched via topaz, built on google cloud's vertex ai platform. Riseup Labs's primary differentiator is: iso 9001 and 27001 certification brings documented process/security rigor at a low-cost delivery base. They also differ in team size (300000 vs 51-200), minimum engagement ($150K vs $8K), and primary industries served (Fintech, Retail vs Retail, SaaS).