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.
We pick a small set of disciplines and stay sharp on them. Most engagements pull from two or three at once.
Hybrid retrieval, reranking, evaluation harnesses, and the unsexy plumbing that keeps answer quality steady as your corpus grows from thousands to millions of documents.
Tool-using agents that do real work — drafting communications, executing on-chain transactions, orchestrating multi-step workflows. Reliability built in from the prompt up.
Streaming ingestion, mempool monitors, vector stores, and time-series analytics. Pipelines designed to stay quiet while they handle volume and back-pressure.
Embeddings, classifiers, computer vision, recommenders. Models that ship as APIs your team can actually own — with eval harnesses and monitoring from day one.
Multi-tenant SaaS, async-first services in Python and Rust, secure key management, background job queues. Designed so the second customer doesn't break the first.
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.
A sample of platforms we've designed, built, and operate today — running for paying users, moving real capital, and pushing real volume.
Multi-tenant knowledge platform with hybrid search (BM25 + vector + RRF + cross-encoder reranking), async ingestion across Notion, Drive, Confluence, Zendesk, GitHub, and WordPress.
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.
An autonomous agent operating on X and the Base network. Parses intent through Claude, executes on-chain transactions, and manages a live treasury with active yield optimization.
Two-stage retrieval pipeline — vector recall followed by cross-encoder reranking — that matches candidates and roles on skill semantics rather than keyword overlap.
Algorithmic exit-strategy platform with WebSocket order management, multi-exchange integration, and automated risk controls — designed to remove emotional decision-making from active trading.
LLM-driven communication platform that triages tenant requests, drafts responses, and routes exceptions — integrating cleanly with existing property management workflows.
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.
From the first architectural sketch through production deploy, the same hands stay on the work. Continuity is the feature.
Backend, ML, infrastructure, and frontend living in the same head. We don't outsource the parts that are hard.
Everything we ship goes to real users or moves real capital. We design for the second year, not the demo.
Predictable systems beat clever ones. Postgres before Kafka, observability before optimization, eval harnesses before agents.
We're stack-pragmatic, not stack-religious. These are the tools we know deeply enough to ship with confidence.
Whether you have a specific scope in mind or you're still mapping the problem, a 30-minute conversation usually clarifies the path forward — and tells you whether we're the right fit.