Your engineering-First SR&ED partner
We help innovative companies recover more R&D tax dollars through rock-solid SR&ED claims built by engineers who actually understand your work.
The story behind Inference PM
Who we are
Welcome to Inference PM, where engineering meets SR&ED expertise, and R&D tax credits become reality. Led by a seasoned engineer with deep AI/ML experience, our team is dedicated to empowering tech companies like yours on your journey to maximize tax credits. We understand the complexities of software development, AI/ML innovation, and the qualifying work that drives SR&ED claims.
What drives us
Crafting rock solid SR&ED claims that maximize your R&D tax credits, streamlining technical documentation, and turning complex innovation into compelling claims - that's our jam! We leverage cutting-edge AI/ML tooling and project management practices to deliver a seamless experience that sets us apart from traditional tax consultants.
Our approach
Technical deep dive
We immerse ourselves in your technology stack, understanding your R&D challenges, innovations, and systematic approaches to problem-solving.
Project management focus
We apply proven project management methodologies to organize and document your SR&ED activities, ensuring comprehensive claim preparation.
Our advantage
Our engineering background gives us a unique strategic advantage over traditional tax consultants. We don't just process paperwork—we truly understand your technical work and the innovation that qualifies for SR&ED credits.
AI/ML specialization
Our expertise in AI/ML technologies ensures we capture the full scope of your qualifying research and development activities.
Continuous innovation
We continuously learn, adapt, and evolve our practices to stay ahead of SR&ED policy changes and maximize your tax credit potential.
Our Founder
Varsha Shankar
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Our founder brings a unique combination of technical depth and business expertise to SR&ED consulting. With an MBA, MSE in Robotics, and BE in Computer Science, plus over 13 years of industry experience as a data scientist, research scientist, engineer and product manager, she understands both the technical complexities of R&D and how to translate them into compelling SR&ED claims.