McLean, Virginia – October 2026 – dbSeer has achieved the Select partner tier in the Claude Partner Network Services Track.
The Claude Partner Network is how Anthropic works with the firms that put Claude into production for customers. The Services Track recognizes partners for building a certified delivery team, delivering Claude use cases for clients, and proving the work through public customer references. Partners advance through Certified, Select, Preferred, and Global Premier tiers.
Learn more about the program at claude.com/partners.
The recognition reflects dbSeer’s foundation-first approach to AI delivery: understand the client’s data environment and business problem, then apply AI where it can create measurable value.
“AI doesn’t fail because the model isn’t smart enough. It fails because the foundation isn’t ready,” said Mahyar Ghasemali, CEO and Founder of dbSeer. “Reaching Select status in the Claude Partner Network shows what we’ve always believed: when you pair Claude with clean data, solid governance, and a real business case, AI goes beyond the pilot and changes how the business runs. That’s what we deliver.”
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dbSeer’s Claude Expertise
Successful AI deployments depend on more than model selection. They require reliable data, clearly defined workflows, sound governance, and a business case that can withstand production use. With more than a decade of experience building and modernizing data platforms, dbSeer helps clients move from promising AI demos and prototypes to working, integrated solutions.
The most direct path is dbSeer’s AI Accelerator, a six-week engagement that takes a high-priority Claude use case from idea to working solution.
During the first three weeks, Discover & Validate, dbSeer works with the client team to identify where AI can create the greatest impact, select the highest-value use case, and build a working solution with measured accuracy. A clear go/no-go decision point allows clients to evaluate results within their own workflows before committing to further investment. During the final three weeks, Build, the team closes accuracy gaps, validates the solution with users, and delivers the architecture, cost model, and roadmap needed to scale.
Claude stands out when clients need to work with long, detail-heavy documents, nuanced language, or multi-step agentic workflows where reliability matters.
A Partner Ecosystem Built Around the Client
dbSeer is an AWS Advanced Consulting Partner and holds the AWS AI Competency, delivering cloud migration, data platforms, and AI solutions. As a Databricks Consulting Partner, dbSeer designs lakehouse architectures and unified analytics platforms that help prepare data for AI.
With Select status in the Claude Partner Network, dbSeer now partners across all three layers of the modern AI stack: Anthropic for models, AWS for cloud infrastructure and Databricks for data platforms. dbSeer connects these layers with the strategy, data, engineering, and product expertise required to turn AI into business results: from building the data foundation, developing solutions, and scaling them to production. With Claude available through Amazon Bedrock and natively on Databricks, dbSeer can deliver all of it on the platforms clients already trust.
About dbSeer
For over a decade, dbSeer has paired deep cloud and data engineering expertise with real business process understanding, with proof that shows up in the numbers and not just the pitch. dbSeer is an AWS Advanced Consulting Partner with the AWS AI Competency, a Databricks Consulting Partner, and a Select partner in the Claude Partner Network. When the firm brings AI into a client’s workflow, it is grounded in a data foundation the team has already verified can perform.
Most data consulting firms lead with tools. dbSeer leads with outcomes clients can point to: 60x faster data processing, 90% cost reduction, zero-downtime migrations, and AI systems that cut manual work by 95%, for mid-market businesses and startups across telecom, healthcare, franchise, and financial services. dbSeer’s assessment-first methodology ensures the team is solving the right problems before implementing anything, which is why the results hold up.
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