We engineer the AI systems that move global commerce.

How a platform gets built

Research to production.

1. 01/RESEARCHevaluated

   The question before the code.

   Model quality does not transfer between languages. Every task is evaluated per language, against its own baseline.

   • Per languageevaluated separately
   • Scriptsright-to-left included
   • Baselinehuman and held out
2. 02/DESIGNbounded

   Where the boundaries go.

   Agents get defined tools, permitted actions and explicit failure paths. The check is where the system is allowed to stop.

   • Toolsdefined per agent
   • Actionspermitted ones only
   • Failurean explicit path
3. 03/ENGINEERINGtyped

   Typed, reviewed, shipped.

   Every platform is written in-house. No template, no page builder, no agency handoff.

   evaluate.ts

   // evaluate.ts
   export async function run(task: Task) {
     const base = await baseline(task.lang);
     const out = await model.run(task);
    
     return out.score > base.score
       ? ship(out)
       : reject(out, "below baseline");
   }

   • In-houseno agency handoff
   • First commitproduction code
   • Evaluatedagainst step one's measures
4. 04/INFRASTRUCTUREisolated

   Where it runs, and how it holds.

   Multi-tenant isolation, edge delivery, typed APIs, and monitoring that tells us before a customer does.

   • Isolationenforced in the database
   • Deliveryrendered at the edge
   • Monitoringbefore a customer notices
5. 05/AI LAYERgrounded

   Grounded, bounded, measured.

   Retrieval from live sources with citations attached. Allowed to say it does not know. Nothing ships unless it beats the baseline.

   • Retrievalfrom live sources
   • Citationsattached to the answer
   • Baselinebeat it or no ship
6. 06/LIVEoperated

   Operated by the team that built it.

   Hublinkly and Clavix360 are in production. Ara is in development. The people who engineered them run them.

   • Same teamresearch through operations
   • After go-livemonitoring and evaluation
   • Changesfrom real use