Markovate
San Francisco AI development agency building generative AI apps and agents
Founded 2015 | San Francisco, CA, USA | 50–200 employees
llm-api-integrationagentic-aiconversational-ai
What is Markovate?
Markovate is an AI development agency founded in 2015, headquartered in San Francisco with a presence in Toronto. Directory headcount estimates sit between about 50 and 200. It builds generative AI apps, agents and integrations for startups and mid-size firms. It publishes a large volume of marketing content, while independent detail on production integrations is limited.
Markovate works primarily with clients in SaaS, Healthcare, Retail & e-commerce, Logistics sectors. Its primary differentiator is: Generative AI app builds for startups with a fast proof-of-concept focus.
Markovate tech stack and services
Azure OpenAIAWS BedrockLangChainPythonReact
| Service area |
|---|
| LLM API Integration |
| Agentic AI |
| Conversational AI |
Markovate pricing
Short answer: Fixed-price and T&M; rates on request. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From not disclosed | Well-defined scope |
| Time & materials | Variable; depends on team size | Large programmes or team augmentation |
Markovate does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Markovate pros and cons
| Advantages | Things to consider |
|---|---|
| +Quick turnaround on generative AI prototypes | -Thin independent evidence of enterprise CRM or ERP integration |
| +Good fit for startups without an in-house AI team | -Headcount estimates vary widely between directories |
| +Experience with chat and agent interfaces | -Ratings and awards mostly cited from its own materials |
Markovate vs alternatives
How Markovate compares to the other top AI Integration companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market firms adding AI to existing CRM and... | Integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call | 4.8 | Full comparison |
| Provectus | AWS-based companies needing data work before AI. | Pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team | 4.6 | Full comparison |
| Slalom | Salesforce-centric enterprises, Data Cloud and Agentforce. | Partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack | 4.6 | Full comparison |
| Neurons Lab | Banks and insurers piloting agentic AI under regulation. | Financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation | 4.5 | Full comparison |
| TTMS | Pharma and regulated firms on Salesforce or Microsoft... | Adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules | 4.5 | Full comparison |
| Avanade | Microsoft-standardized enterprises rolling out Copilot. | A Microsoft-only practice of about 59,000 people covering Dynamics 365, Azure OpenAI and Copilot governance | 4.4 | Full comparison |
| deepsense.ai | Engineering teams wanting a strong RAG partner. | Research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets | 4.4 | Full comparison |
| Addepto | Data teams needing warehouse work before an LLM... | Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored | 4.3 | Full comparison |
| Vstorm | Teams wanting agents they will own and maintain. | Agent specialists who hand over a production system the client team can maintain without them | 4.3 | Full comparison |
| Quantiphi | Google Cloud estates, high-volume document AI. | Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments | 4.3 | Full comparison |
| Grid Dynamics | Retailers adding AI to commerce and supply chain... | Packaged agentic-commerce accelerators backed by a large engineering bench with public financial reporting | 4.3 | Full comparison |
| EPAM Systems | Large enterprises with Salesforce and SAP estates. | Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic | 4.3 | Full comparison |
| Accenture | Global enterprises with multi-country compliance needs. | Scale and compliance coverage across every major platform, region and regulator | 4.2 | Full comparison |
| Perficient | Marketing and service teams on Adobe or Salesforce. | Adds AI inside customer-experience platforms such as Adobe Experience Cloud, Salesforce and Microsoft | 4.2 | Full comparison |
| Azumo | Budget-conscious U.S. teams, time-zone-aligned. | U.S.-hours engineering from Argentina at a $25–$49 Clutch band with a $10,000 entry point | 4.2 | Full comparison |
| RTS Labs | U.S. mid-market firms with stalled AI pilots. | Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections | 4.2 | Full comparison |
| Thoughtworks | Engineering-led firms that value delivery practice. | Long-standing engineering discipline, testing and continuous delivery applied to AI features | 4.1 | Full comparison |
| InData Labs | Mid-size firms needing forecasting and data science. | Data-science-led team that builds predictive models alongside generative features | 4.1 | Full comparison |
| Master of Code Global | Consumer brands building chat and voice assistants. | Two decades of conversational design work for consumer brands, now applied to LLM-based assistants | 4.1 | Full comparison |
| Deloitte | Regulated enterprises needing audit-grade AI controls. | Risk and governance expertise next to SAP and Oracle integration teams in one firm | 4.1 | Full comparison |
| IBM Consulting | Enterprises already committed to IBM watsonx. | Prebuilt connectors in watsonx Orchestrate plus IBM's own governance tooling | 4.0 | Full comparison |
| Globant | Firms wanting subscription-priced AI capacity. | Subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour | 4.0 | Full comparison |
| N-iX | Larger programmes needing an Eastern European team. | Large Central and Eastern European engineering bench with data-platform experience | 4.0 | Full comparison |
| ScienceSoft | Healthcare and finance firms wanting one IT vendor. | Long-established generalist covering both the surrounding software and the AI feature | 4.0 | Full comparison |
| Itransition | Cost-sensitive buyers wanting a large generalist. | Low published rates combined with a large engineering pool | 3.9 | Full comparison |
| Miquido | Product teams adding AI to customer-facing apps. | Product design and mobile engineering applied to AI features in apps | 3.9 | Full comparison |
| LeewayHertz | Buyers open to a platform-led ZBrain build. | Builds on its own ZBrain low-code platform, now backed by The Hackett Group | 3.8 | Full comparison |
Markovate FAQ
What is Markovate?
San Francisco AI development agency building generative AI apps and agents
How much does Markovate charge?
Pricing at Markovate: Fixed-price and T&M; rates on request. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does Markovate use?
Markovate works with Azure OpenAI, AWS Bedrock, LangChain, Python, React. Primary industries served include SaaS, Healthcare, Retail & e-commerce, Logistics.
Is Markovate right for enterprise?
Startups wanting a quick generative AI build. 50–200 team size. Key consideration: Thin independent evidence of enterprise CRM or ERP integration.
What are the best Markovate alternatives?
The best alternatives to Markovate depend on your use case. Top options are:
- Tensorway: integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call
- Provectus: pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team
- Slalom: partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack
Compare Markovate with other AI Integration companies
Markovate vs Tensorway Markovate vs Provectus Markovate vs Slalom Markovate vs Neurons Lab Markovate vs TTMS Markovate vs Avanade Markovate vs deepsense.ai Markovate vs Addepto Markovate vs Vstorm Markovate vs Quantiphi Markovate vs Grid Dynamics Markovate vs EPAM Systems Markovate vs Accenture Markovate vs Perficient Markovate vs Azumo Markovate vs RTS Labs Markovate vs Thoughtworks Markovate vs InData Labs Markovate vs Master of Code Global Markovate vs Deloitte Markovate vs IBM Consulting Markovate vs Globant Markovate vs N-iX Markovate vs ScienceSoft Markovate vs Itransition Markovate vs Miquido Markovate vs LeewayHertz
Verify all details directly with Markovate before making a decision.