Next week it meets your CRM, learns that Acme Corp is four different companies, and quietly retires to a farm upstate.
We're the engineering-led AI firm that keeps pilots alive. We build the context layer so every system agrees on who your customers are, ship agents into the tools your team already uses, and install the practices that keep them honest. Our team has run data, AI, and GTM at Salesforce, HubSpot, Adobe, and Procore, and we've seen a lot of farms.
Revenue, GTM, and data leaders at software companies who are done funding demos and want something their team will use on Monday.
Working across a portfolio?Explore our private equity programs
Your CRM agrees. Billing says it's four. Marketing has it as "ACME, Inc." with a lead score of 97, and finance stopped asking in 2023. We build the context layer that settles it for people and agents alike.
Explore Data and AIThey arrive with notes, a theory, and mild despair. We cut the prep, fix the handoffs between teams, and give sellers their afternoons back.
Explore GTMOne is an HR chatbot with the confidence of someone who has never read the handbook. We help you find the three, fund them properly, and give the chatbot a dignified send-off.
Explore AI StrategyThe model is rarely the problem. Agents stall when they ask a simple question, like who owns this account or what counts as an active customer, and your systems give three answers. The context layer is the shared record of customers, definitions, sources, and access rules that agents read before they act. We build that first, because every agent after it gets cheaper and more trustworthy.
How the context layer worksBig firms are slow for structural reasons. The partner who wins the deal hands it to a team you meet later, and the plan clears three steering committees before anyone touches your data. We skip all of that. The people in the first meeting are the people writing the code. You see a working version on your own data early and a demo every week after that. If something isn't working, you'll know in weeks.
Some firms do everything from ERP migrations to sustainability strategy. We do the revenue engine: selling, GTM planning, RevOps, customer success, and the data underneath them. It's a shorter menu, and everything on it is something we used to run.
Every agent we ship comes with the same five things, whether it's the first or the fifteenth:
That's why the second agent costs less than the first, and the tenth is boring in the best way.
What we do
Which AI work deserves money, in what order, and who owns it.
The context layer, the agents on top of it, and the tests that let your risk team say yes.
Selling, customer success, GTM planning, and revenue operations, where we've spent our careers.
Monitoring and improvement after launch, so the agent you approved in March still behaves in September.
Every company has a spreadsheet that runs it. It's called FINAL_v7_REAL, it has survived two reorgs and a CFO, and exactly one person knows what column AF does. Before we build anything, we sit with the people who keep it alive and map where the work stalls. Sometimes the answer is an agent. Sometimes it's deleting three steps and a standing meeting. We'll tell you which, even when the cheaper answer means less work for us.
See how we workWe built data and AI inside Salesforce, HubSpot, Adobe, and Procore. We've owned the forecast, the data platform, and the 7am exec review where the dashboard and the forecast disagreed and both had a VP defending them. That history is why we build things people open on Monday morning. It's also why we ask annoying questions about definitions in week one.
Meet the teamSoftware companies from growth stage to enterprise, and the private equity firms that back them. Our clients include public enterprise software companies, PE-backed SaaS businesses, and operating teams running programs across whole portfolios. Logos coming as clients approve them.
Alder Works doesn't exist. Its problems do. Walk through an account brief, a prioritization model, an agent approval pack, and a renewal risk review, all built on made-up data and very real headaches.
Visit Alder WorksWhat we're learning in the field about context, agents, and the unglamorous work that makes them useful. First pieces publish at launch.
Tell us in two sentences. Bonus points if you name the spreadsheet. We'll tell you honestly whether we can help, and if we're the wrong fit we'll point you to someone better.
Tell us what's stuck