Trie Technologies

For engineers

AI and data platforms, engineered to hold up in production.

Trie Technologies is a boutique engineering studio for ambitious teams shipping LLM products, autonomous agents, and real-time data systems — from architecture through the code that runs at 3am.

Start a conversation   See selected work

Capabilities

Where we go deep.

We pick a small set of disciplines and stay sharp on them. Most engagements pull from two or three at once.

  • Applied AI & RAG

    Hybrid retrieval, reranking, evaluation harnesses, and the unsexy plumbing that keeps answer quality steady as your corpus grows from thousands to millions of documents.

    RAGpgvectorReranking

  • Agents & Automation

    Tool-using agents that do real work — drafting communications, executing on-chain transactions, orchestrating multi-step workflows. Reliability built in from the prompt up.

    Tool UseMemoryWorkflow

  • Real-Time Data Platforms

    Streaming ingestion, mempool monitors, vector stores, and time-series analytics. Pipelines designed to stay quiet while they handle volume and back-pressure.

    StreamingAsyncMulti-chain

  • ML Engineering

    Embeddings, classifiers, computer vision, recommenders. Models that ship as APIs your team can actually own — with eval harnesses and monitoring from day one.

    EmbeddingsComputer VisionMLOps

  • Platform Architecture

    Multi-tenant SaaS, async-first services in Python and Rust, secure key management, background job queues. Designed so the second tenant doesn't break the first.

    Multi-tenantRustFastAPI

  • Technical Advisory

    Architecture reviews, model selection, build-vs-buy calls, and AI-readiness audits. A senior pair of eyes on the choices that are expensive to undo.

    ArchitectureAuditStrategy

Selected work

Systems we've built.

A sample of platforms we've designed and built.

  • Enterprise RAG

    AskForrest

    Multi-tenant knowledge platform with hybrid search (BM25 + vector + RRF + cross-encoder reranking), async ingestion across Notion, Drive, Confluence, Zendesk, GitHub, and WordPress.

    RAGpgvectorMulti-tenant
  • LLM Security

    AIFortress

    Rust-native guardrail layer for LLM input/output with sub-millisecond inspection. A four-tier scanner pipeline — regex, heuristic, BERT, and embedding-based — catches jailbreaks, PII leakage, and policy violations.

    RustGuardrailsSub-ms
  • Autonomous Agent

    AXIOM

    An autonomous agent operating on X and the Base network. Parses intent through Claude, executes on-chain transactions, and is designed to manage a treasury with yield optimization.

    AI AgentOn-chainTreasury
  • Semantic Matching

    MatchMaker

    Two-stage retrieval pipeline — vector recall followed by cross-encoder reranking — that matches candidates and roles on skill semantics rather than keyword overlap.

    EmbeddingsRerankingQdrant
  • Real-Time Trading

    ProfitPilot

    Algorithmic exit-strategy platform with WebSocket order management, multi-exchange integration, and automated risk controls — designed to remove emotional decision-making from active trading.

    WebSocketsAsyncMulti-exchange
  • Conversational Ops

    TenantBot

    LLM-driven communication platform that triages tenant requests, drafts responses, and routes exceptions — designed to integrate with existing property management workflows.

    LLMWorkflowB2B SaaS

Approach

A small senior team. By design.

Trie Technologies is a boutique engineering studio. We are intentionally small so that every engagement runs through experienced principals — the people designing the architecture are the same people writing the code.

No hand-offs to junior engineers. No translation layer between strategy and shipping. You get senior depth across backend, ML, and infrastructure, applied directly to the problem in front of you.

Engagement models

  • Technical advisory — architecture reviews, AI-readiness audits, and senior pairing sessions for in-house teams.
  • Embedded build engagements — focused 4–12 week pushes to design and ship a new platform or capability end-to-end.
  • Long-term platform partner — ongoing senior support for the AI/data surface of your product.
  1. 1

    Senior end-to-end

    From the first architectural sketch through production deploy, the same hands stay on the work. Continuity is the feature.

  2. 2

    Cross-disciplinary depth

    Backend, ML, infrastructure, and frontend living in the same head. We don't outsource the parts that are hard.

  3. 3

    Production over prototype

    We build with monitoring, evaluation, and failure handling from the start. We design for the second year, not the demo.

  4. 4

    Boring infrastructure

    Predictable systems beat clever ones. Postgres before Kafka, observability before optimization, eval harnesses before agents.

Stack

Tools we reach for.

We're stack-pragmatic, not stack-religious. These are the tools we know deeply enough to ship with confidence.

Languages

  • Python
  • Rust
  • TypeScript
  • Go
  • Solidity

AI & ML

  • Anthropic / Claude
  • OpenAI
  • Vertex AI & Gemini
  • LangChain
  • sentence-transformers
  • MediaPipe / OpenCV

Data & Infra

  • PostgreSQL & pgvector
  • Qdrant
  • Redis & Celery
  • FastAPI
  • GCP / AlloyDB
  • Foundry

Frontend & Mobile

  • React & Next.js
  • Vue 3
  • SvelteKit
  • Tauri
  • Flutter
  • Tailwind CSS

Contact

Let's talk about what you're building.

Whether you have a specific scope in mind or you're still mapping the problem, a short conversation usually clarifies the path forward — and tells you whether we're the right fit.

Book a free 20-minute call

contact@trietech.io · Ivyland, Pennsylvania · Remote-friendly