200+ in-house engineers who build in Python, Go and modern JS and apply AI across
the stack.200+ in-house engineers who build in Python, Go
and modern JS and apply AI across the stack.
We take products from the first discovery workshop to production,
and stay on as you scale.
200+
In-house engineersIn-house engineers, all full-time. No freelancers or outsourcing
250+
Projects deliveredProjects delivered
50+
Specialization and domainsSpecialization and domains
1 week
Start withinStart within
87%
Repeat and referral clientsRepeat and referral clients
Custom AI products built on your data and wired into the systems you already run.
AI Discovery and proof of conceptCustom AI products: LLM apps, agents,Computer Vision and Voice RecognitionML integration with your legacy and cloud systemsSenior in-house engineers who take products from discovery to production and stay as you scale.
Python, Go and modern JS across the stackMicro-frontend and microservices platformsDiscovery workshops to productionLong-term support as you scaleData platforms and analytics that turn scattered sources into decisions.
PostgreSQL, ClickHouse, MongoDB, RedisKafka and event-driven pipelinesPricing intelligence and demand planningDashboards and reportingInfrastructure that keeps your product fast, secure and predictable to run.
Cloud architecture and migrationCI/CD and automated testingObservability and cost controlAI infrastructure and MLOpsA prioritized, costed AI backlog for your business in 3–4 weeks.
Goals, data and feasibility assessmentPrioritized use cases with estimatesCosted plan or a shipped productFixed scope, fixed timelineAI in a pilot engineering team, measured, in 4 weeks.
Pilot team setup and toolingMeasured productivity impactGuidelines for the wider teamRollout planA production AI product, shipped and handed over to your team.
PoC and model selectionMVP developmentProduction and scalingMaintenance and optimization
For whom
Teams with an AI budget who want proof before a big build.
What's included
A fixed-scope engagement that ends with a costed plan or
a shipped product.
We assess your goals, data and feasibility, then confirm where AI fits the job.
2 weeks
Legal
Task
Give a legal team AI tools and replace a monolith that was slow to change and hard to integrate.
What we did
Built focused services on LangChain and LangGraph, with a core MCP service and an orchestrator agent.
Feature delivery speed doubled.
Banking
Task
Unify siloed systems and standardize how users and access are managed across divisions.
What we did
Built a micro-frontend platform on an Nx monorepo, plus a central user and permission management system.
Access requests cut from 3 days
to 30 minutes.
E-commerce
Task
Build a platform that generates product imagery with AI, so sellers skip photo studios and retouchers.
What we did
Built the platform's microservices architecture and async generation pipeline from scratch, as part of a 15-person team.
22% more trial-to-paid conversions.
Pynest
1 week
start within
Fixed
Predictable monthly rate
200+
in-houes engineers
50+
specializations avaliable
In-house
3–6 months
to hire and onboard one senior engineer
$200K+ /yr
per engineer, plus overhead
Limited
to your local talent pool
1-2
specializations typically
We build the internal systems that large digital banks run on. We bring scattered tools into one platform and manage user access centrally,
so teams move faster and stay in control.
Case
A micro-frontend platform and central permission management for a large Eastern European digital bank. 98% faster access requests.
From strategy to product launch and business evolution.
We find the leverage points that transform entire industries
with elegant and powerful solutions.
We run focused workshops to pin down your goals, constraints and success metrics, so everyone shares one scope.
We design the system, choose the stack and plan delivery so the product is built on solid foundations.
A senior in-house team builds in short iterations, with working software reviewed every sprint.
We take the product to production, hand over documentation and make sure your team owns it.
We stay on as you scale: measuring results, optimizing and adding what the business needs next.
Languages
Python, Golang, Java, Node.js
Frameworks
FastAPI, Django, Flask, Gin, Spring Boot, Express.js
Databases
PostgreSQL, MySQL, MongoDB, Redis, ClickHouse
Messaging & Events
Kafka, RabbitMQ, Celery
Testing
Pytest, unittest, Postman, REST Assured
Languages
TypeScript, JavaScript
Frameworks
React, Next.js, Angular, Vue
Architecture
Micro-frontends, Nx monorepo
Testing
Jest, Playwright, Cypress
Workshops
Goals, constraints and success metrics
Deliverables
Scope, roadmap, costed backlog
Tools
Figma, Miro, Jira, Confluence
Models
OpenAI, Anthropic Claude, Google Gemini, Mistral
Frameworks
LangChain, LangGraph, RAG, agents
Serving
vLLM, MCP services, vector databases
Research
Interviews, journey maps, usability tests
Design
Figma, design systems, prototyping
Handoff
Tokens, specs, motion guidelines
Tell us about your project and we'll reply with clear next steps.
