Appinventiv vs SoluLab: full comparison for 2026
Last updated: June 2026
Quick verdict
Appinventiv (3.7/5) edges ahead of SoluLab (3.5/5) overall. Appinventiv is the better choice for cost-conscious projects needing a fixed-scope AI agent or GenAI feature build from an India-based delivery firm — particularly when mobile or web product context matters. SoluLab is the stronger option for startups and early-stage teams exploring AI agent feasibility or building an initial MVP within a tight budget — not for complex production multi-agent systems. The right choice depends on your project size, budget, and required tech stack.
Appinventiv vs SoluLab: head-to-head summary
| Criterion | Appinventiv | SoluLab |
|---|---|---|
| Founded | 2015 | 2014 |
| HQ | Noida, India (offices in New York, Dubai, London) | Los Angeles, CA, USA (US sales office); primary delivery in India |
| Team size | 1,500+ | 201–500 |
| Rating | 3.7 / 5 | 3.5 / 5 |
| Best for | Cost-conscious projects needing a fixed-scope AI agent or GenAI feature build from an India-based delivery firm — particularly when mobile or web product context matters | Startups and early-stage teams exploring AI agent feasibility or building an initial MVP within a tight budget — not for complex production multi-agent systems |
| Pricing model | Fixed project, dedicated team, retainer | Fixed project, dedicated team |
| Min. engagement | $20K | $15K |
| Primary tech stack | OpenAI, LangChain, Python | OpenAI, LangChain, Python |
| Industries served | Healthcare, Retail, E-commerce, Fintech, Education | Fintech, Healthcare, Real estate, Web3 / blockchain |
Appinventiv vs SoluLab: overview
Appinventiv
Appinventiv was founded in 2015 in Noida, India, and has grown to approximately 1,500 employees with offices in New York, Dubai, and London. Its primary business is digital product development (mobile apps, web platforms), on top of which it has built a growing AI agent and generative AI practice. India-based delivery rates make it cost-competitive for projects with a defined scope and a budget below what North American or European boutiques require. The AI practice is genuine but newer and less specialist than Tensorway or Leewayhertz; complex multi-agent architectures are not its primary strength.
SoluLab
SoluLab was founded in 2014 with a primary focus on blockchain and web3 development, to which it has added AI agent and RAG capabilities. The company claims a Los Angeles HQ but operates primarily from India (per LinkedIn and Glassdoor), with a team of approximately 200–500 engineers. Its principal appeal is the lowest minimum engagement of any firm on this list ($15K), making it accessible for startups running feasibility projects or early MVPs before committing to a larger vendor. The dual AI-and-blockchain focus limits the depth of its pure AI agent practice relative to single-focus specialists.
Services and capabilities: Appinventiv vs SoluLab
| Capability | Appinventiv | SoluLab |
|---|---|---|
| Custom AI agents | ✓ | ✓ |
| Multi-agent systems | ✗ | ✗ |
| RAG pipelines | ✓ | ✓ |
| LLM integration | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Appinventiv vs SoluLab
| Framework / platform | Appinventiv | SoluLab |
|---|---|---|
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| CrewAI | N/A | N/A |
| LangChain | ✓ | ✓ |
| OpenAI | ✓ | ✓ |
| Anthropic Claude | N/A | N/A |
| AWS Bedrock | N/A | N/A |
| GCP Vertex AI | N/A | N/A |
| Azure OpenAI | N/A | N/A |
Pricing comparison: Appinventiv vs SoluLab
| Criterion | Appinventiv | SoluLab |
|---|---|---|
| Minimum engagement | $20K | $15K |
| Engagement models | Fixed project, Dedicated team, Retainer | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Appinventiv vs SoluLab
| Dimension | Appinventiv | SoluLab |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Retail, E-commerce | Fintech, Healthcare, Real estate |
| Best use cases | Fixed-scope AI agent builds with defined deliverables, AI feature integration into mobile or web applications | AI agent feasibility and proof-of-concept projects, Early-stage RAG system builds |
| Typical project type | Fixed project | Fixed project |
Appinventiv vs SoluLab: pros and cons
| Appinventiv | |
|---|---|
| + | India-based delivery rates significantly below North American or European equivalents |
| + | 1,500+ team enables parallel workstreams and faster scaling than boutiques |
| + | Strong mobile and web development context alongside AI feature delivery |
| - | Primary business is digital product development; AI is a growing secondary practice, not core |
| - | Limited depth on complex multi-agent orchestration or advanced LangGraph/AutoGen architectures |
| - | Senior AI engineer involvement not guaranteed on smaller engagements |
| - | Quality oversight requires active client involvement to match boutique specialist output |
| SoluLab | |
|---|---|
| + | Lowest minimum engagement ($15K) of all firms reviewed; accessible for pre-seed and seed startups |
| + | Covers both AI and blockchain in one firm; useful for web3 AI hybrid projects |
| + | Fixed-price model reduces budget risk for well-scoped MVP builds |
| - | Blockchain remains the founding focus; AI agent practice is secondary, not primary |
| - | Small-to-mid team size and dual focus limits depth on complex agentic architectures |
| - | US HQ is a sales office; primary delivery is India-based; time-zone management required |
| - | Not suited to production multi-agent systems requiring senior architect ownership |
Who should choose Appinventiv?
Appinventiv is the right choice for cost-conscious projects needing a fixed-scope AI agent or GenAI feature build from an India-based delivery firm — particularly when mobile or web product context matters.
India-based delivery rates with a 1,500+ team; accessible fixed-price model for defined-scope AI builds. Minimum engagement starts at $20K. Works best with clients in Healthcare, Retail, E-commerce, Fintech, Education.
Who should choose SoluLab?
SoluLab is the right choice for startups and early-stage teams exploring AI agent feasibility or building an initial MVP within a tight budget — not for complex production multi-agent systems.
Lowest minimum engagement ($15K) of any firm on this list; accessible starting point before committing to larger AI-native vendors. Minimum engagement starts at $15K. Works best with clients in Fintech, Healthcare, Real estate, Web3 / blockchain.
Decision matrix: Appinventiv vs SoluLab
| Your situation | Recommended choice |
|---|---|
| You need production-ready AI agents with full delivery ownership | SoluLab |
| You have a budget over $200K and need enterprise-scale delivery | Consider EPAM Systems for very large programmes |
| You need a fixed-price project with a well-defined scope | Appinventiv |
| You need AI engineers assembled within days | Consider Turing for speed of team assembly |
| You need healthcare AI with compliance expertise | Consider SoftServe for deep healthcare AI |
| Your budget is under $30K | Appinventiv |
| You want multi-agent LangGraph architecture | Consider Tensorway or Leewayhertz |
| You need RAG over proprietary knowledge bases | SoluLab |
Use case fit: Appinventiv vs SoluLab
| Use case | Appinventiv fit | SoluLab fit | Winner |
|---|---|---|---|
| Autonomous AI agents | Limited | Limited | Both equally |
| RAG knowledge systems | Limited | Strong | SoluLab |
| Enterprise compliance AI | Limited | Limited | Both equally |
| Healthcare AI | Limited | Limited | Both equally |
| Startup AI MVP | Limited | Strong | SoluLab |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Appinventiv vs SoluLab
Appinventiv (3.7/5) is the stronger overall choice for most AI agent development projects in 2026. India-based delivery rates with a 1,500+ team; accessible fixed-price model for defined-scope AI builds. It is best for cost-conscious projects needing a fixed-scope AI agent or GenAI feature build from an India-based delivery firm — particularly when mobile or web product context matters.
SoluLab (3.5/5) is the better choice when startups and early-stage teams exploring AI agent feasibility or building an initial MVP within a tight budget — not for complex production multi-agent systems. If your situation matches those criteria, SoluLab is a competitive option.
Related comparisons
Appinventiv vs SoluLab FAQ
Is Appinventiv better than SoluLab?
Appinventiv (3.7/5) scores higher overall, but "better" depends on your use case. Appinventiv is better for cost-conscious projects needing a fixed-scope AI agent or GenAI feature build from an India-based delivery firm — particularly when mobile or web product context matters. SoluLab is better for startups and early-stage teams exploring AI agent feasibility or building an initial MVP within a tight budget — not for complex production multi-agent systems.
How do Appinventiv and SoluLab differ in pricing?
Appinventiv uses fixed project, dedicated team, retainer pricing with a minimum engagement of $20K. SoluLab uses fixed project, dedicated team pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Appinventiv or SoluLab?
Neither is the better enterprise choice due to team size and compliance capabilities. For large-scale enterprise AI programmes with multi-region requirements, EPAM Systems (10,000+ engineers) is worth evaluating alongside both firms.
What are the main differences between Appinventiv and SoluLab?
Appinventiv's primary differentiator is: india-based delivery rates with a 1,500+ team; accessible fixed-price model for defined-scope ai builds. SoluLab's primary differentiator is: lowest minimum engagement ($15k) of any firm on this list; accessible starting point before committing to larger ai-native vendors. They also differ in team size (1,500+ vs 201–500), minimum engagement ($20K vs $15K), and primary industries served (Healthcare, Retail vs Fintech, Healthcare).
Last reviewed: June 2026. Verify all details directly with each company before making a decision.