Private equity · AI consulting and implementation
We build tools that compare deal documents, search past research, and process portfolio-company records. Projects can use existing AI products, custom software, or a combination.
What we can build
These are examples of applications we can build or configure. Follow a link for the requirements and delivery details.
The tool compares investment materials, management presentations, and interview notes. It pulls out evidence, flags inconsistencies, and drafts questions for the deal team.
Your team can search approved deal files, operating playbooks, and past research. Answers cite their source documents and respect access by team and company.
The application reads invoices, service requests, and operating documents and prepares the fields for review. Approved updates go to the systems each company already uses.
We add AI features to portfolio-company software and connect tools across acquired businesses. We begin with the interfaces and changes a useful first release needs.
Delivery
We work from sample documents and the systems your team already uses, so the first release is tested on real work.
You pick a research task, a knowledge need, or a portfolio workflow. We agree on the users, source material, system access, and business owner, and on the measures a useful first application must meet.
We configure or build the application with your investment or operating team. We connect approved data, test real documents and exceptions, and review the results with the people who will use it.
We measure quality, handling time, adoption, and running cost, and improve the first release before it reaches other teams or companies. Each new rollout gets a fresh check of permissions and local requirements.
An assessment reviews one workflow, its data, and the likely costs, then recommends whether a build is worth it.
Working together
We work with investment teams, operating partners, and portfolio-company leaders.
We agree on the work, price, and acceptance tests before development starts. Larger projects can be delivered in stages.
A focused assessment usually takes 1 to 3 weeks once scope and access are agreed. A focused prototype can take days, and a well-defined release can take weeks when access and decisions are ready. We confirm the schedule after reviewing your systems and access.
A sponsor can set priorities, but each portfolio company needs its own business owner, technical owner, and reviewer. Before release, we agree who holds code and deployment access and who handles integration upkeep, model changes, incidents, and support. Reusing a pattern in another company does not give either company access to the other’s data.
How we workWe test with representative cases, link each output to its source, and measure the release in use after the company accepts it. Any synthetic examples are clearly labeled.
AI evaluation and operationsLabeled document fields, source-linked research examples, and synthetic portfolio-company records for application testing.
We scope the sources, labels, evaluation cases, and release requirements for your domain-specific AI.
See AI training data servicesWe build fictional records and difficult scenarios for application development, QA, and demos.
Explore test data servicesReview deal documents, investment committee materials, or portfolio operating records without sending them to external model providers. Start with a permission-aware internal research workflow.
Explore on-premises AI deploymentsNo. These are examples of applications we can build or configure for your firm. A project can combine existing products, custom software, and integration with your systems. We agree on scope, software licenses, ownership, and support before work starts.
Permadyn AI builds workflow software, automation, AI features, and application upgrades. Permadyn Analytics handles data integration, portfolio performance measures, recurring reporting, and fund reporting controls. When a company needs both, we start with the more pressing problem and plan how the two pieces of work connect.
Yes. We can take on a defined piece of work alongside your internal team and existing vendors. We agree up front on the gap we are filling, who makes which decisions, the documentation, and who maintains the result.
Not by default. A rollout makes sense only when a proven workflow fits another company and that company has the data access, controls, owner, and business case to adopt it. A good result in one business does not prove the same opportunity elsewhere.
Yes, for most of it. Discovery, workflow reviews, software delivery, and acceptance testing can run through remote sessions and controlled access to your environment. Watching the work in person or meeting a security requirement may need an on-site visit. We agree on participants, access, time zones, and any visits during scoping.
Follow a fictional invoice through source checks, review, and a simulated approval. An interactive example, not a client result.
Explore resourceSynthetic portfolio data and example reports. They show an approach; they are not client results or industry benchmarks.
Explore resourcePortfolio operating metrics, data integration, and fund reporting, from Permadyn Analytics.
Explore resourceComparable company performance, variance analysis, and the data controls behind an operating review, from Permadyn Analytics.
Explore resourceWe connect the software you already run to external tools and AI platforms through an API, an MCP server, or a WebMCP interface, whichever fits.
Explore resourceTell us about the task, the systems involved, and the result you want.