Guru Meditation
Guru Meditation #00000000.534F4654 — software studio · online

We build software that doesn't crash[1].

Guru Meditation is a software studio — we know the business as well as the code. Most shops build what you spec; we understand why you need it, because we've run the finance, the supply chain, the trading desk and the compliance ourselves. So we ship products that fit the work — across enterprise SaaS, trading infrastructure and applied AI, end to end from the database schema to the screen.

See the work → Start a project

[1] the name is a 1980s Amiga crash screen. it's a joke. the uptime isn't.

What we do

We speak business and we speak code — so the product fits the company, not the other way round.

It starts before the architecture. We learn how your business actually makes money, where it leaks time, and what a win looks like — then we build the thing that moves those numbers, end to end, and stay until it's in production and staying up. Increasingly that means putting real AI to work inside the product: models, ML, and the LLMs we run ourselves.

Why “studio,” not “agency”? Because we don't take orders for code. We sit on your side of the table, learn your domain, and design the product around the business — then build it ourselves.

00

Domain & product strategy

We've built the finance, the dealing desk, the food line and the loan book — so we arrive already fluent in your domain. We pressure-test the spec, kill the features that don't pay for themselves, and design the product around the business case. The engineering below is how we deliver it.

01

SaaS platforms

Multi-tenant products from schema to shipped UI — dozens of modules, role-based dashboards, and AI woven through the workflow, not bolted on.

02

Trading systems

Autonomous strategy engines, market-data pipelines, backtesting, and risk & position-sizing logic that holds up out of sample.

03

Broker infrastructure

Whitelabel brokers in full: FIX liquidity aggregation, quote markup, A/B-book routing, dealing desk, exposure and margin.

04

Native & mobile

Cross-platform desktop and mobile clients sharing one typed core — the same book, quotes, and order flow everywhere.

Selected work

Things we've built, end to end.

A few of the systems that came out of the studio. More land here as they ship. Explore the projects in depth →

response365.ailive

Response365

Multi-tenant business platform

An entire business stack in one place. Response365 unifies the operational, financial, sales, supply-chain, manufacturing, HR and compliance workload of a whole company into a single multi-tenant system — built as roughly 80 mounted apps behind 16 role-based dashboards and around 1,900 screens, with AI threaded through search, marketing, recommendations, data import and chat. It's the kind of platform a department usually buys five separate tools for.

DjangoMulti-tenantAI / MLEnterprise scale
visit response365.ai ↗
One system, every department
  • Finance & accounting
  • Sales, CRM & marketing
  • Operations & supply chain
  • Manufacturing & production
  • HR & workforce
  • Compliance & regulatory
~80 apps
16 dashboards
~1,900 screens
response365.ai/bilive

Business Intelligence

Ask-anything analytics

A conversational analytics engine built into Response365: ask in plain language — in any language — and it runs validated, optimised queries across every module, returns real-time role-specific KPIs, and exports to Excel, CSV or PDF with an AI-written narrative. A purpose-built query pipeline — validation, optimisation, tenant isolation and performance monitoring, not a thin wrapper around an LLM — that learns the questions you'll ask next.

Natural-language queriesSelf-learningMultilingualReal-time KPIs
visit response365.ai/bi ↗
response365.ai/foodlive

Food Production & Security

Food MES + safety & traceability

A food-native manufacturing execution system paired with a two-layer food-safety platform, both inside Response365. On the line: versioned recipes treated as IP, batch lifecycles that post straight to the ledger, auditor-grade electronic batch records, and forward-and-backward genealogy so a recall scopes itself in a single query. Around it: HACCP CCP tracking, allergen control, cold-chain monitoring, ISO 2859-1 sampling and multi-jurisdiction compliance — with eight-domain supply-risk scoring and AI for yield, demand and anomaly detection.

Food MES / EBRBatch genealogyHACCP & recallMulti-jurisdiction
visit response365.ai/food-production ↗
content-extractoron-prem

Multi-source news aggregation

Universal Content Extractor

Pulls stories from PDF newspapers & magazines, websites and RSS feeds, and social platforms (X, Facebook, Instagram, LinkedIn) — then segments, embeds and semantically clusters related coverage across languages, generates synopses, and ranks it all into a personalised feed. PostgreSQL for records, a Milvus vector database for semantic search, and anti-detection scraping throughout. Every LLM step — text understanding and on-page image recognition, reading and comprehension alike — runs on a self-hosted Gemma 4 model on the server, so processing news at scale costs nothing in commercial LLM API fees.

On-prem Gemma 4PDF + visionSemantic clusteringMilvus vectors
trading-sentimentrealtime

Trading Sentiment

Real-time market sentiment signals

A financial-sentiment microservice that reads the articles coming out of the content-extraction engine, scores each one bullish or bearish with a local LLM (vLLM / Gemma) — confidence and key factors included — and resolves the companies and tickers behind it. It turns that into live BUY / SELL / HOLD calls for stocks and LONG / SHORT for forex, streamed over WebSocket and SSE to trading bots, dashboards and alerts. Nordic-focused — 60+ names across Helsinki, Stockholm, Oslo and Copenhagen — plus US and global stocks and 14 forex pairs, across six languages. FastAPI, PostgreSQL and Redis pub/sub.

Local LLM · vLLM/GemmaReal-time WS / SSETrading signalsNordic + forex
piggytrader.cclive

Piggy Trader

Autonomous trading agent

Not a rule-based bot. A meta-controller that learns across price, volume, volatility, chart patterns, market regimes, intermarket and macro signals — and sizes every position by volatility and edge. Every strategy ships only after walk-forward, out-of-sample validation.

Machine learningMarket microstructureRisk & sizing
visit piggytrader.cc ↗
piggytrader.cc/brokerlive

Piggy Broker

Whitelabel broker backend

A broker in a box. FIX 4.4 liquidity aggregation across multiple LPs, per-group quote markup, A-book / B-book routing, an internal price-time matching engine, a dealing desk, live net-exposure tracking, auto-hedging, and a margin engine with stop-out — multi-tenant and row-level isolated.

FIX 4.4A/B-book routingMatching engine700+ tests
visit piggytrader.cc/broker ↗
piggy/native · mobileshipping

Piggy Native & Mobile

Trading apps for Mac, Windows, iOS & Android

Desktop apps for Mac and Windows plus iOS and Android mobile apps, built on one shared core — the same order book, quotes and execution flow on the desk and in your pocket, wired straight into the broker backend.

Mac & WindowsiOS & AndroidShared core
credithelperv1.0.3

CreditHelper

Automated loan management

An end-to-end loan lifecycle platform for lenders: origination with flexible terms, automated payment schedules, regular and late-interest calculation, automatic invoicing, and multi-channel reminders — all on a full audit trail for compliance. GoCardless direct debit collects and reconciles payments automatically, matching them to the right loan even without a reference number, down to partial and small amounts.

DjangoGoCardless direct debitInterest engineAudit trail
live dating platformlive

Live Dating Platform

Subscription dating · web + native · live calling

A members-only dating product on a single backend with two clients — a Next.js web app and an Expo / React Native app over a Bearer-token API. Real in-app WebRTC video & voice calling (SDP/ICE signaling over the match channel, time-limited TURN credentials, push-woken incoming calls), AI image moderation on every upload, race-safe matching, realtime chat with voice/video messages, and Stripe FREE/PLUS/PREMIUM tiers — wrapped in a trust-&-safety stack (private EXIF-stripped media, magic-byte validation, ban/block everywhere, KYC-ready verification) designed in from the schema up rather than bolted on after the first incident.

Next.js 16React NativeWebRTC callsAI moderationStripe tiers

> _ more in the build

New projects land here as they ship. There are more in the pipeline — and one of them might be yours.

30+
products shipped
7+
industries built natively
700+
broker backend tests
FIX.
4.4 liquidity
Contact

Start a project.

Tell us what you're building — or what's keeping you up at night. We read everything and reply ourselves.

guru://new-project