Thinqcraft

Applications, backend, integrations and production care

We design, build and run business software end to end.

We take responsibility for the working system: web applications, admin panels, backend logic, APIs, marketplace and e-commerce integrations, data workflows, automation, deployment, monitoring and production care.

Describe your problemSee how we work

Applications and tools

Interfaces people can use every day

Full-stack web applications, admin panels, internal tools, forms, dashboards and workflow screens shaped around the business process they need to support.

Backend, APIs and data

Product logic and data flows with clear boundaries

Rails, Go, Elixir, Python, PostgreSQL, Redis, REST, GraphQL, OpenAPI, background jobs, marketplace sync, ETL, reconciliation and API clients with failure handling you can actually see.

Production care

Existing systems made safer to run and change

Rails upgrades, React and Vite migrations, infrastructure cleanup, deployment paths, PostgreSQL tuning, monitoring and refactoring that protect production while reducing debt.
  • Full-stack applications
  • Admin panels and internal tools
  • Backend and APIs
  • Marketplace integrations
  • Production care

Service map

The work usually spans the full software layer.

A business system rarely fails in one place. We separate the work into the interfaces people use, the backend and data underneath, the integrations around it and the production path that keeps it reliable.

Build

Apps, panels and product logic

Full-stack web applications, admin panels, internal tools, backend services, APIs and MVP foundations shaped around the real process.

  • Web apps
  • Admin panels
  • Backend
Connect

Data and integration flows

Marketplace sync, commerce feeds, vendor imports, webhooks, ETL, reporting foundations and reconciliation with visible failure handling.

  • ETL
  • Webhooks
  • Reporting
Run

Production and existing code

Rails upgrades, migrations, deployment, monitoring, queues, infrastructure cleanup and refactoring that protect live operations.

  • Deploys
  • Monitoring
  • Modernization

Extended offer

Four operating layers for companies that run on data and process.

Commerce is one strong example, but it is not the frame for the whole offer. The same patterns appear in healthcare, startups, SaaS, service operations and internal tools: flows between systems, decision data, people working inside a process and automation around repeated steps.

Reliability

Flow Monitoring

Visibility and reliability for integrations that carry real work.

An integration does not watch itself: a partner API fails, data sync stalls and a document, task or record can get stuck between systems. We build the supervision layer: end-to-end monitoring, alerts before users feel the problem, stuck-record detection and readiness for higher volume.

  • end-to-end monitoring
  • alerts
  • data reconciliation
  • retry and dead-letter queue
  • peak scaling
  • Grafana
  • Prometheus
  • Sentry
  • SLA and maintenance
Field work

Operational Apps

The process in hand: warehouse, field team, clinic or service desk.

Paper, spreadsheets or a desktop panel at a desk do not fit work done in a warehouse, facility, lab, clinic or customer site. We build operational apps that guide users step by step, scan or validate data, block mistakes and sync with the backend, including places where connectivity is weak.

  • mobile apps
  • scanners
  • step-by-step workflow
  • data validation
  • offline-first
  • Android terminals
  • roles and permissions
  • locations
  • ERP/API integration
Data

Operational Analytics

One reliable view of the process, not another spreadsheet export.

When data sits across several systems, answering a simple operating question can take half a day of export stitching. We collect events, statuses, costs, outcomes and user activity into one data layer, then build dashboards, metrics, alerts and forecasts around the decisions the team has to make.

  • data warehouse
  • operational dashboards
  • process metrics
  • forecasting
  • dbt
  • Metabase / Power BI
  • business alerts
  • shared definitions
AI operations

AI for Operations

Less repetitive manual work where operational data already flows.

Ticket classification, document cleanup, data extraction, research, descriptions, translations and anomaly detection often scale only by adding people. We plug AI into concrete process steps with human review where the cost of error is high.

  • data classification
  • document OCR
  • research workflows
  • anomaly detection
  • human-in-the-loop
  • LLM
  • embeddings
  • data safety

From first pressure to production

The useful first outcome of a service engagement is a scoped, priced piece of work.

A slow catalog, a brittle integration, a missing admin panel and a stalled build can all arrive as 'our system is a problem.' We separate them, because the estimate, the risk and the first release differ for each.

A named scope

One clear piece to start with, chosen because it carries value or removes risk.

A real estimate

Grounded in the actual data, integrations and constraints.

A first release

Small enough to ship, large enough to prove the approach in production.

This keeps service conversations concrete before the build grows in cost or ambiguity.

What companies come to us with

The problem usually shows up as operational pressure.

These are the patterns we know how to turn into working business software: messy data, fragile integrations, manual work, missing admin tools, legacy systems, unclear reports, missing ownership and workflows that need clearer control.

Marketplace ops
Operational pressureProducts, categories and stock are still handled by hand
Service moveFeeds, vendor imports, category mapping, parameters, delta sync and reconciliation become a visible, maintainable flow.
Explore marketplace synchronization
Legacy Rails
Operational pressureThe app works, but every change slows the team down
Service moveWe refactor, add tests, isolate domains, upgrade Rails and migrate safely without freezing production.
Explore modernization and rescue
Stalled delivery
Operational pressureA product was ordered, but someone never got it to production
Service moveWe read the code, scope and constraints, separate what can be reused from what has to change, and turn the rescue into the first shippable increment.
API product
Operational pressureThe backend is becoming the bottleneck of the product
Service moveWe shape REST, OpenAPI, RBAC, background jobs, external integrations and documentation around the product workflow.
External APIs
Operational pressureThe official API is incomplete, inconsistent or not enough
Service moveWe build clients, adapters, retry flows, throttling, panel automation and monitoring around fragile third-party systems.
Frontend debt
Operational pressureThe frontend blocks delivery and admin UX
Service moveWe move old builds toward Vite, React 18, Solid.js or cleaner admin interfaces with forms that teams can actually use.
Structured knowledge
Operational pressureExpert knowledge exists, but it is not codified or discoverable
Service moveWe model entities, stable URIs, JSON-LD, Turtle, search metadata, SEO surfaces and multilingual quality checks around real domain knowledge.
Explore CMS and knowledge systems
Infrastructure
Operational pressureDeploys feel risky and production has no clear owner
Service moveWe stabilize Linux, NGINX, Puma, SSL, PostgreSQL, queues, monitoring and repeatable release paths.
AI workflows
Operational pressureThe company wants AI, but the data is not ready
Service moveWe build AI on structured data, source-of-truth pipelines, content QA, research workflows, agentic maintenance and controlled LLM integrations.
Sensitive domains
Operational pressureThe system needs stability, access control and documentation
Service moveWe work with workflows where roles, auditability, security improvements, review and careful releases matter.
Manual operations
Operational pressureThe process lives in people, emails and spreadsheets
Service moveWe turn repeated handoffs into internal tools, reports, database workflows, event logs and controlled automation.

Find the risk layer

The useful next step is knowing which technical layer blocks the workflow.

A slow or fragile process rarely needs a whole new system by default. The pressure may sit in an API contract, data reconciliation, admin UX, deploy path, infrastructure, linked data or an AI pipeline. The technology map helps turn the operational symptom into a place we can work.

The useful next step is knowing which technical layer blocks the workflow.
INT
Find the risk layer
  1. Operational symptom
  2. Risk layer
  3. Production move

Markets

We work remote-first across focused B2B markets, with market pages that describe the local search intent without inventing office addresses.

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