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Silka

Capabilities

How the work is actually done.

Not a feature list. This is the reasoning behind the decisions that decide whether a system holds up after launch.

Web development

From a single landing page to an application people work in

The rendering strategy is chosen per route: static where content is stable, server-rendered where it is personal, client-side only where interaction demands it. That is why a marketing page and a data-heavy dashboard can live in the same codebase without either one suffering.

  • Corporate websites

    Next.js, structured content model, CMS, structured data, motion that respects reduced-motion.

  • E-commerce

    Catalog, faceted search, checkout, accounts, orders and fulfilment integration.

  • Web applications

    Dashboards, authentication, role-based access, real-time data and background processing.

  • SaaS

    Tenancy, subscriptions, billing, teams, permissions and a versioned public API.

Mobile development

Applications that work where the phone actually is

Cross-platform by default so one product team covers iOS and Android, with native modules wherever the hardware or the platform demands it. Offline behaviour, background work and permissions are designed up front, because none of them can be retrofitted cleanly.

  • 01

    Onboarding

    Permissions are asked for in the moment they are needed, with the reason attached. A permission prompt with no context is a permission that gets denied.

  • 02

    Dashboard

    The primary action stays in the thumb zone. Everything a user does twenty times a day is reachable one-handed.

  • 03

    Offline state

    Sync state is shown, never hidden. When people cannot see what has landed, they re-enter data defensively — which corrupts it more reliably than any bug.

  • 04

    Payments & auth

    Biometrics, secure storage and platform payment sheets. Native where it matters, shared everywhere else.

Onboarding — 1 / 4

CRM · ERP · Internal systems

We build the systems your business actually runs on

When an off-the-shelf product needs a dozen custom fields and a shadow spreadsheet, the configuration path has run out. We model the real objects a business works with — not contacts and deals — and build the interface around the work rather than the database.

Operations console — illustrative data

Pipeline health at a glance

Open pipeline
€1.24M+8.2%
Weighted
€412K+3.1%
Avg. cycle
34 days−4 days
Win rate
31%+2pt
OpportunityStageValueIn stage
Northwind retrofitProposal€180,00012 days
Halden logisticsDiscovery€64,0003 days
Arbor Health portalNegotiation€245,00021 days
Vela commerceQualified€38,0001 day

Trailing 12 periods

  • CRM

    Pipelines, records, tasks, quoting, permissions and reporting modelled on your process.

  • ERP modules

    Inventory, orders, procurement, production and finance integration with a full audit trail.

  • Internal tools

    Admin consoles, approval flows, document handling and operational dashboards.

  • Migration

    Moving from spreadsheets or legacy systems with reconciliation, not a big-bang cutover.

Bots & automation

Connect what you already run, and make failure visible

Automation is easy to start and hard to trust. Every workflow we build has retries, a dead-letter queue, alerting and a per-run trace, so a silent failure is structurally impossible — which is the difference between automation that survives and automation that gets switched off.

Automation — a lead arrives

One pipeline behind every channel, with the failure path built in from the start.

  1. New lead

    Trigger

    Website form · Telegram · WhatsApp · Email

  2. Normalise

    Step

    One typed event, whatever the channel

  3. Enrich & score

    Step

    Company lookup, routing rules, priority

  4. Write to CRM

    System

    Idempotency key — a retry can't duplicate

  5. Notify owner

    System

    Telegram to the assigned manager, instantly

  6. Scheduled follow-up

    Step

    Email sequence, cancelled on reply

  7. Trace & alert

    Guard

    Every run logged; failures hit the dead-letter queue

AI — a customer asks a question

Retrieval, a confidence gate, a human with the send button, and every correction fed back as an evaluation case.

  1. Customer message

    Trigger

    Arrives from any channel

  2. Intent detection

    Step

    Classify before you generate

  3. Retrieval

    Step

    Hybrid search over versioned knowledge

  4. Confidence gate

    Guard

    Below threshold → route to a human

  5. Grounded draft

    Step

    Answer with citations attached

  6. Human approval

    Guard

    Agent approves, edits or rejects

  7. Send & record

    System

    Reply sent, CRM updated, edit stored as an eval case

  • Assistants & support

    Grounded answers with citations, confidence gating and human approval.

  • Document processing

    Extraction, classification and summarisation into structured fields.

  • Semantic search

    Embeddings and hybrid retrieval over your own content.

  • Workflow intelligence

    Routing, prioritisation and drafting inside existing processes.

Backend & infrastructure

The part nobody sees and everything depends on

Relational until proven otherwise, boring where boring works, observable everywhere. We design for the load you will actually have and leave a written record of why the system is shaped the way it is.

A real one — the architecture behind CrashAtlas

  1. L0
    Public sourcesHeterogeneous
  2. L1
    IngestionNormalise + geocode
  3. L2
    PostgreSQLCanonical records
  4. L3
    Cluster APIViewport queries
    Archive pagesISR by dimension
  5. L4
    Interactive mapClient
    Browse & searchClient
    PremiumSubscriptions
Connections (7)
  • Public sources → Ingestion
  • Ingestion → PostgreSQL
  • PostgreSQL → Cluster API
  • PostgreSQL → Archive pages · generate
  • Cluster API → Interactive map
  • Archive pages → Browse & search
  • Browse & search → Premium · gated records
An ingestion pipeline feeds a normalised store; the map reads a clustered tile API, the archive reads statically generated pages.
Read that case study

  • Services & data

    Domain modelling, PostgreSQL with real constraints, reviewable migrations.

  • Async work

    Queues, background jobs, scheduling, retries and dead letters.

  • Real-time

    WebSockets and event streams where polling would not hold up.

  • Delivery

    Docker, CI/CD, preview environments, infrastructure as code, OpenTelemetry.

Technology

The stack, with reasons attached.

The strip above is what we build with. On its own it tells you nothing — so every entry below carries why it is on the list, and we will happily argue about any of them.

Rendering strategy decided per route, not per framework fashion.

  • React

    Component model we build every interface on

  • Next.js

    Server components, streaming, route-level caching

  • TypeScript

    Strict mode; the domain is typed end to end

  • Tailwind CSS

    Design tokens as constraints, not utility soup

  • Motion

    Interaction and scroll choreography

Got a product that should exist by now?Tell us about it.

Describe what has to change in your business. We will work out what that actually takes — including when it takes less than you think.

Start a projecthello@silka.studio