Not answer questions. Not summarize documents. Not autocomplete your sentences.
Actual work. The tedious, invisible, time-consuming tasks that pile up and burn out your team.
Your people are good at what they do. They shouldn't waste time on data entry, document processing, and CRM hygiene. AI employees handle that—so your team can do the work that actually matters.
We don't train on your data. We don't sell it. We don't share it. Ever.
We started in private equity.
We spent hundreds of hours every year chasing portfolio companies for quarterly data, copying numbers from PDFs into spreadsheets, and making investment decisions with incomplete information.
We knew AI could fix this. But the tools we tried were toys—chatbots that couldn't remember context, copilots that needed constant hand-holding, platforms that required months of implementation.
So we built Linga.
We started with portfolio monitoring for PE/VC because we knew that pain cold. But the platform we built—knowledge graphs, flexible data models, document intelligence—applies everywhere teams are stretched and operations are manual.
Now we're expanding to healthcare, professional services, and small business. Same philosophy: AI employees that do real work, built on infrastructure that actually understands your business.
We've scaled companies through IPO. We've launched AI products to enterprise customers. We've sat in the seat of the operators we're building for.
We're based in the US. We're a small team. We answer our own support emails.
We never use your data to train AI models. We never share it with AI vendors. We never sell it to third parties. We encrypt everything. We're SOC 2 compliant.
No growth hacks. No dark patterns. No rug pulls. We want 10-year relationships, not quick wins.
No long-term contracts. Cancel anytime. Export your data with one click. If we're not delivering value, you should leave.