Technivera
An independent AI research and development lab.
Technivera is self-directed and product-first. Ideas get pursued by building them, not describing them. Current work spans three areas: predictive market intelligence, agentic systems, and cognitive learning.
DomainGrid
A curated marketplace for premium domains, and the systems built to run it.
The Marketplace
The interface for founders and names that match their vision
Premium-only inventory, hand-picked and presented with simplicity. Each name has been evaluated and cross-referenced for commercial intent, category alignment and industry-specific use cases. Buy outright or lease-to-own, so founders can build on the name before raising.
— Traction
Profitable in its first full year, with lease-to-own revenue growing month over month.
Visit DomainGridThe Intelligence Layer
The engine behind what gets sourced, evaluated, and listed
// Track every name
A single ledger for every domain — cost basis, registrar, renewal dates, pipeline stage.
// Establish a number
Comp lookups, category context, and AI-assisted suggestions produce a defensible value. The final call is always mine.
// Find the right fit
Surfaces likely buyers and outbound leads, so prospecting runs as a workflow instead of cold guesses.
The Domain Agent
Reasons about names the way I do, at a scale I can’t
It reads my acquisition and valuation criteria as the source of truth, then screens thousands of candidates. Hard scripting does the bulk of the work; tiered models refine. Each run feeds the next.
Not a product, not for sale. The research engine behind what gets listed on DomainGrid, and why.
How it works
Pulls fresh drop lists and inventory feeds, then strips anything that fails basic structural rules — length, character class, obvious junk.
A cheap, fast model scores what's left against my acquisition criteria. Most names die here; a small shortlist moves forward.
Survivors get hydrated with comps, prior sales, keyword data, and registration history so later steps reason over real context.
Higher-tier models scan adjacent TLDs, existing usage, trademarks, and on-web signals to flag conflicts and confirm category fit.
Each finalist is graded with a recommendation and rationale I can review in seconds — strong buy, candidate, or pass.
For inquiries: contact@technivera.com