We run our own company on the software we build.
We build the data foundations AI depends on, then run the business functions that sit on them.
The work runs in three stages. An engagement can begin and end at the first one, and the stages above it become available once the one below has been delivered. Some of what we install comes from a catalog we already run. The rest we build for you.
We centralize, govern, and validate your data, both structured and unstructured, so that it can be trusted and used. Centralizing means one index that knows what exists, what it means, whether it can be relied on, and how to reach it. The data itself can stay where it lives, which takes the migration project off the table. This is the groundwork every serious AI effort depends on, and it carries value on its own.
On that foundation we deploy agents and automation that perform whole business functions. You buy the function performed, priced monthly. Each one is a configurable product, so onboarding is configuration work and an improvement reaches every client at once.
When the operating software a company runs on is worth commercializing, we design and build it with them and then partner on taking it to market: product, marketing, and SaaS operations. The economics move from fees toward a mix of cash, equity, and revenue share. The terms that decide whether this works, exclusivity, roadmap control, and ownership, are settled in writing before the first line of code.
Each stage deepens the relationship, raises the value of the contract, and improves the economics on both sides. More to the point, each one is credible only because the previous one was delivered. No company hands a vendor the software it runs on until that vendor has already proven it understands the company’s data and its operations.
Foundation work across many companies is also how we learn which business functions are worth building as products, so the roadmap comes from operations we have seen rather than from a whiteboard.
Agents go to work only on data that has been validated and can be trusted. Skipping that step is how AI projects produce a convincing demo that fails on contact with real operations.
Our systems carry work to the point of decision, and a named person approves what leaves them. There is one narrow exception, and we state it here: routine billing notices on autopay accounts, sent from templates approved in advance and triggered by your own contract terms.
Every function in the catalog runs our own operations before it reaches a client, so it arrives with the rough edges already found. Where your need is specific to your business, we build it for you and hold it to the same standard.
Our controls are kept in a register where each one carries a command that demonstrates it. Security questionnaires are answered from a passing run of those checks, and anything that is planned rather than in place is described that way.
Newtack is a new firm. Client references and case studies will appear here as the work behind them is delivered, and not before.
Prospects ask this before they ask anything else, so here are the answers in the same words we use in a security questionnaire.
To take a new tack is to change how the business runs, on purpose. That is the work: new ways of using technology to improve business performance and build business value. For clients as they adapt and optimize in a changing environment, for the products we build with them, and for our own operations, which is where a good deal of it gets proven.
Newtack LLC works with clients wherever they are.