The way Stripe became the default for payments and Salesforce the default for CRM, Findola intends to become the default for the universal interface to work data.
Foundation models have crossed the threshold of reliable autonomous reasoning. An entire layer of human cognitive labor — looking, summarizing, stitching, briefing — is becoming economically obsolete. Whoever owns the index of a company's work owns the surface that AI runs on.
We are not building a ChatGPT wrapper. We're building a vertically-integrated, agent-native system of record and system of action with proprietary data flywheels, defensible technical infrastructure, and deep workflow lock-in.
Give every knowledge worker an answer to any question in under two seconds, with a citation they can trust and a permission boundary they can verify.
We ship slowly when we have to, and we publish our eval scores. Trust compounds; magic doesn't.
In an era of commodity models, the design and the discipline are the differentiator.
Every workflow that runs in production teaches the next generation of the product.
Safe choices, sensible limits, sane permissions — out of the box.
Founded by Muhammad Majid, Findola is a small, technical team of ML and infrastructure engineers based in Lahore, Pakistan. We build the retrieval, ranking, and agent systems ourselves, and we've worked inside the kind of mid-market companies Findola now serves. We remember what it felt like to not have this.
Sets company direction, the product bet, and the long-term architecture of the retrieval layer. Spent a decade watching SaaS sprawl bury answers inside mid-market companies, and started Findola to put them back within reach. Leads the AWSM VC relationship and the Seed round.
muhammadmajid@tryfindola.comMachine learning engineer focused on computer vision and AI-driven applications. Owns product and go-to-market. CS at FAST NUCES.
saadwaqar@tryfindola.com linkedin.com/in/coderrrrrAI/ML engineer owning the GPU-accelerated core: retrieval, reranking, and the models Findola runs on. Mathematics background, deep in statistics and applied ML.
muhammadharis@tryfindola.com linkedin.com/in/muhammad-harisBuilds, trains, and ships end-to-end ML for classification, NLP, and vision. Owns model tuning and production integration across the retrieval stack.
saqibrasheed@tryfindola.com linkedin.com/in/saqib-rasheed.NET backend engineer specializing in integration systems and distributed architecture, with hands-on ML and data work. Builds the connector and API layer.
hassanali@tryfindola.com linkedin.com/in/hassanali81213Findola raised a $2.5M Seed round led by AWSM VC to ship the owned, GPU-accelerated core and take AI-native search to the mid-market. If you run 20+ SaaS tools and want an honest, cited answer to any work question, we want to talk.