Elegant IT
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Agentic AI
development.

We build AI products, not chat wrappers. Custom agents, RAG pipelines and LLM-native features embedded at the product level — running while your users sleep.

Start an AI build ↗See how it works
Capabilities

What we build
with AI.

⬢

Custom AI agents

Goal-oriented agents with tools, memory and guardrails. They take action — not just answer.

ClaudeOpenAILangGraph
▤

RAG & knowledge

Hybrid search, citations, eval pipelines. Your data, your tone, hallucination-resistant.

PineconeSupabasepgvector
◎

LLM apps

Chat, copilots, assistants — productised, not prototyped. Streaming, tool-use, eval-driven.

Vercel AINext.jsAnthropic
⟳

Workflow automation

Agentic workflows that replace 20-step SOPs. n8n, Make, custom orchestration.

n8nMakeTemporal
◐

Voice & vision

Whisper, Deepgram, GPT-vision. Phone agents, image understanding, document parsing.

WhisperDeepgramGemini
▦

Evals & observability

You can't ship what you can't measure. Custom evals, tracing, regression suites.

BraintrustLangSmithHelicone
How it works

Anatomy of an
elegant agent.

IntentUser goal in natural language.
PlanAgent decomposes into steps.
ToolsSearch, CRM, code, APIs.
MemoryContext + retrieved knowledge.
ActStreamed answer + side effects.
// Production agent — typed, evaluated, observable const agent = defineAgent({ model: 'claude-sonnet-4-5', tools: [searchKB, crmLookup, sendEmail, scheduleMeeting], memory: supabase.vector({ namespace: 'tenant_42' }), guardrails: [noPII, topicFilter], evals: [factuality, tone, latencyP95], }); const reply = await agent.run({ user: "Schedule a follow-up with the Acme deal.", });
AI portfolio

Agents we've put in production.

Live AI products serving real users — measured, evaluated, and held to a latency budget.

RAG · Healthcare01

Clinical research copilot

Hybrid search across 1.2M peer-reviewed papers. Citations on every claim, hallucination guardrails baked in.

↗ 8.5k queries/day · 94% eval pass
Voice · SaaS02

Outbound voice agent

A discovery-call agent that books qualified meetings. Whisper + GPT-4o + custom intent eval suite.

↗ 3.2× SDR efficiency
Workflow · Logistics03

Document parsing agent

Customs paperwork → structured JSON in 1.4s. Replaced a 22-step manual process with a single agent loop.

↗ 88% time savings
Fintech · 9 weeks

Agentic finance assistant for SMB founders.

An AI agent that connects to bank feeds, categorises spend, flags anomalies and answers cash-flow questions in plain English. Tool-using, memory-aware, evaluated continuously.

3.4k
Founders onboarded
96%
Eval pass rate
1.2s
P95 latency
How is cash this month?
Net runway: 7.4 months. Burn ↑ 12% MoM, mostly from AWS scale-up.
FAQ

Common questions.

Build the AI that actually ships.

From scoping to evals to production — one team, fixed timeline.

Book an AI scoping call ↗