AI/LLMs · Agentic · IoT · Intelligence · Data
Intelligence-Designed. __Co Tekne. Deployed.
We build AI and LLM systems, agentic and intelligence applications, and IoT prototypes. Data architecture, analysis, and visualization.
/ Story
Software meets silicon. We co-tekne bespoke ecosystems where custom models, autonomous agents, and intelligent hardware operate as one coherent-system.
/ Capabilities
- 01
AI & LLM Systems
Model selection, fine-tuning, evaluation harnesses, RAG and retrieval pipelines, guardrails and observability — built to hold up in production traffic, not just demos.
- RAG
- Fine-tuning
- Guardrails
- Memory systems
- 02
Agentic Services & Applications
Multi-agent workflows with .md/llms context, tool-use, browser and API integrations, human-in-the-loop review, and the scaffolding to trace, replay and debug every run.
- Tool-use
- Multi-agent
- Tracing
- Workflows
- 03
IoT Prototyping
From concept PCB to firmware to a first fleet: edge inference, telemetry ingestion, OTA updates, and the device-side code that keeps a prototype honest.
- Edge ML
- Firmware
- Telemetry
- OTA
- 04
GCP & DevOps
Infrastructure-as-code on Google Cloud: Cloud Run, GKE, Vertex AI, networking and IAM, plus CI/CD that ships the model with the app, not after it.
- Cloud Run
- Vertex AI
- IaC
- CI/CD
- 05
Data Science & BigQuery
Warehouse modelling on BigQuery, dbt pipelines, feature stores, and the analytics layer that turns shipped traffic into the next training set.
- BigQuery
- dbt
- Features
- Analytics
- 06
Progressive Web Apps
Installable, offline-capable web apps that ship without an app store — service workers, web manifests, shareable links, QR-friendly distribution, and the edge plumbing that makes a static site feel like a native app.
- PWA
- Offline-first
- Web Manifests
- Service Workers
/ Work
-
01AI & LLM
Stakeholders Intelligence Platform.
A persistent, compounding stakeholder wiki for innovation workgroups — names, organizations, and the relationships between them, built incrementally by an LLM.
Read case → -
02AI & LLM
Political Strategic Brain
A composite, compounding political intelligence wiki — a persistent, interconnected knowledge base that grows richer with each processed source.
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03Data Science & BigQuery
IP Core Researcher
A Quartz-powered digital garden that tracks IP research across clients, infringers, and content ecosystems — built on the PLU classification framework.
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04Agentic
Aipolis — Compliance UI (EVA)
An AI compliance workspace for the EU AI Act — EVA triages systems, classifies risk, and produces a documentation pack for regulators and auditors.
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05PWA
DAA;P — Album As An App
A retro-styled, installable PWA for direct artist-to-fan music distribution — time-limited previews, shareable links, QR codes, zero intermediaries.
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06AI & LLM
EchoChar
A terminal app for ongoing, persistent conversations with fictional characters — they remember you and grow over time.
Read case →
We are Tekne We Loop-Transform
/ Approach
We bridge the gap between human-centered design and systems engineering
We apply loop optimization principles to our product lifecycle—fusing hardware prototyping, model evaluation, and enterprise data architecture into a parallel, zero-latency development loop
- i 01
Loop Fusion/Fission
We don’t pass specs down a line. We fuse user experience design, model training, and hardware prototyping into a single iteration cycle.
- ii 02
Data Locality
We build systems that run close to the realities of your users and your data infrastructure, avoiding costly structural rewires later.
- iii 03
Loop interchange/Reordering
Observability, evals, guardrails, IaC, CI/CD. The same prototypes that proved the idea become the production seams.
- iv 04
Parallel Execution
By treating infrastructure and interaction as a single problem, we optimize for speed, scale, and human adoption from day one.
/ Contact
Let’s Deploy
We’ll design the architecture, optimize the data flow, and build the solution in parallel.