We don’t prompt and pray. We engineer. With AI.
Custom software development, AI agents and data engineering from experienced EU teams — we turn messy operational data into working systems, reducing development time and cost manifold. 20+ years.
Benelux · DACH · Nordics · Europe · USA
Certified & recognised
In short: Bintime builds AI agents, AI automation and custom software for companies whose product, order and asset data is too large or too messy for off-the-shelf tools — then runs the delivery team that keeps it alive.
Our agentic AI SDLC lets senior engineers direct AI agents through the build, so a working MVP ships in weeks instead of months — without the architecture or accountability gaps that come with vibe-coded shortcuts.
Seven ways in – every engagement is senior-led and outcome-owned.
AI agent development services and AI workflow automation built spec-first: agents that read your data, decide and act inside your systems — under full engineering governance, not prompt-and-hope.
AI agent development
AI readiness assessment, value mapping, then a contained pilot proven on your own data before you scale. Roughly 30% of AI readiness is technology — we fix the data and process blockers too.
AI transformation services
Full-stack delivery across frontend, backend, mobile and data. Senior engineers own architecture, quality and go-live — accelerated by agentic tooling, never vibe-coded.
Custom software development
Gradual, no-big-bang migration of the stack that is blocking growth, M&A or a new market — while the business keeps running.
Legacy modernization
1–15 senior engineers embedded in your team in 2–4 weeks, a project owned end-to-end, or a standing pod that becomes your engineering department.
Engagement models
Pipelines, warehouses and product-data models that make AI possible: high-volume, high-SKU systems are what we have built for 20 years (Icecat, PriceSpider, Gepard PIM).
Data modernization
AI agent development services and AI workflow automation built spec-first: agents that read your data, decide and act inside your systems — under full engineering governance, not prompt-and-hope.
AI agent development
AI readiness assessment, value mapping, then a contained pilot proven on your own data before you scale. Roughly 30% of AI readiness is technology — we fix the data and process blockers too.
AI transformation services
Full-stack delivery across frontend, backend, mobile and data. Senior engineers own architecture, quality and go-live — accelerated by agentic tooling, never vibe-coded.
Custom software development
Gradual, no-big-bang migration of the stack that is blocking growth, M&A or a new market — while the business keeps running.
Legacy modernization
1–15 senior engineers embedded in your team in 2–4 weeks, a project owned end-to-end, or a standing pod that becomes your engineering department.
Engagement models
Pipelines, warehouses and product-data models that make AI possible: high-volume, high-SKU systems are what we have built for 20 years (Icecat, PriceSpider, Gepard PIM).
Data modernizationWe build and use these ourselves. They appear inside engagements as the natural answer to a problem we find — not as an upsell.
SaaS PIM & content syndication
Centralizes and syndicates product data across every channel. When fragmented product data surfaces in an audit, Gepard is the fix.
AI transformation proof layer
A live, working AI agent on your own data during Discovery — in 30 days. Not a slide deck, not a promise. Proof before any scale contract is signed.
Dutch-founded in 2005, we modernize legacy systems, run AI transformation, and ship what’s been stuck — for companies across the EU, UK, USA and Canada.
Roles stay open for months while the backlog keeps growing faster than internal hiring.
A specific skill is missing in-house — AI/ML, data engineering, mobile, or a particular stack.
Post-funding, pre-audit, or a regulatory deadline like EPREL — speed matters more than price.
A senior EU team through a partner costs less than hiring the same seniority locally.
Tired of coordinating freelancers, or a previous vendor failed — they want one partner who owns the outcome end to end.
A new CTO or CIO needs an audit and execution without the risk of a long hiring cycle.
Nobody inside wants to — or can — own the modernization, so it needs a partner who takes full ownership.
Systems need integrating post-merger while the internal team is already stretched thin on the core product.
We work best in sectors with heavy SKU, object and event data: distribution catalogues, plant and order data, shipments, meters, labels. Below is where our delivery history sits.
Electrical, HVAC, plumbing, building materials
Direct and hybrid commerce, MES/ERP data
Catalogue-heavy merchants and marketplaces
3PL, fulfilment, freight, returns
Grid, metering and asset data
Vibe coding got the headlines. Agentic engineering is what professional software delivery actually looks like — and it’s how we’ve delivered for 20 years.
Fast to start. Fragile at scale.
Engineers orchestrate. Agents execute. Humans own.
20+ years of delivery discipline. This is how Bintime builds — always has.
Explore software development & agentic engineeringMost vendors are bolting AI onto old habits. Here’s the real shift in how software gets built — and where Bintime already sits on it.
All code hand-written. Cost scales with scope.
AI speeds the writing — same roles, same cost base.
Engineers become orchestrators; specs are built first.
Bintime is hereAgents execute under engineering governance — output scales without linear headcount.
Efficiency compounds — the cost curve bends down over time.
What it means for you: more output without linearly more cost — delivered under full engineering governance, not vibe-coded.
See how agentic engineering would work on your codebase.
Choose the model that fits your situation. Most clients start with one and expand as the relationship compounds.
Senior engineers embedded in your team, your stack, your codebase. You direct the work; we own delivery quality.
You define the outcome. We own delivery end-to-end — architecture, engineering, QA, go-live.
A standing team that becomes your engineering department. Your technology compounds as the team earns context.
From first conversation to engineers working in your codebase, we move fast — weeks, not months.
Selling energy-related products in the EU means every SKU needs an EPREL registration and a compliant label — per product, per market, kept current as rules change. Manual registration doesn’t scale, and the penalties for gaps are real.
Two minutes, no email.
Hundreds or thousands of SKUs across multiple EU markets, manual re-keying, and delisting or fines when data is missing or out of date.
Gepard maps your product data to the EPREL schema, flags gaps, enriches them, and pushes registrations in bulk — with QR labels and change-monitoring that keeps records live.
Opple Lighting: 500+ SKUs auto-delivered to the EU EPREL database, 100% compliant, with ongoing regulation updates.
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Product data
Bintime built the open product catalog from inception to an IPO-listed market leader — 450+ brands sponsoring content, product data in 60+ languages, integrated with Amazon, Alibaba and Yandex.
E-Commerce | B2C E-Commerce | Retail
Eden Technology, a Barcelona-based reseller, was selling through marketplaces on top of an obsolete eCommerce system. Bintime built a new webshop from scratch, wired it into Eden’s own ERP, and gave the business a sales channel it controls.
Retail · Netherlands
A highly personalised B2C webshop, iOS and Android apps, and the loyalty bonus programme behind them — with Bintime carrying end-to-end IT responsibility.
SaaS · now Wayvia
Began as project outsourcing and grew into a dedicated 23-person team: MVP, then iterative delivery of a high-load analytical widget, conversion monitoring and customer dashboards.
Industrial monitoring
Product vision, detailed requirements and an intuitive interface for the MVP — from a blank page to something investors and users could actually try.
Own product · AI
An embedded OpenAI model took over product-data mapping in Gepard, turning the slowest manual step in onboarding a catalogue into an automated one.
Average client relationship: 10+ years
See all case studies
20+ yrs of cooperation
2 years of cooperation
15+ yrs of cooperation
11 yrs of cooperation
6 months
3 yrs of development
Built, not luck — proper QA methodology and automated testing in every team’s definition of done. You can hire engineers; you can’t replicate delivery discipline compounded over two decades.
Things start moving the day we land — senior engineers who’ve done it before, with agentic tooling configured to your codebase from sprint one.
Gepard and B-Hive aren’t upsells — they prove we understand engineering as a customer. When we say an agent runs on your data in 30 days, B-Hive is how we show it, not promise it.
Multi-agent workflows — Planner, Architect, Builder, Tester — with LLM pipelines and RAG built in from day one under full engineering governance, not retrofitted.
Global consultancies, large AI vendors and AI-native boutiques all win work in this market. Each is the right answer to a different question — this is where we are genuinely the better fit, and where we are not.
| Criteria | Bintime | Global consultancy | Large AI vendor | AI-native boutique | In-house hire |
|---|---|---|---|---|---|
| Time to a working pilot | 3–4 weeks, on your data | 3–6 months of discovery first | 6–12 weeks | 4–8 weeks | 3–6 months to hire |
| Who actually builds it | Named senior EU engineers | Partners sell, juniors deliver | Large mixed pods | Small senior team | Your hire, alone at first |
| Platform lock-in | None — your stack, your IP | Their platform and licences | Vendor frameworks | Proprietary agent platform | None |
| Where your data sits | EU only — NL & EE, ISO 27001 | Global, varies by contract | Global delivery centres | Often US cloud by default | Yours |
| Smallest way in | One fixed-fee pilot | Multi-quarter programme | Team of five and up | Monthly retainer | Permanent headcount |
| After go-live | We run what we build | Change-request process | Support tier | Usually hands back | Yours to run |
| Depth in messy product data | 20+ yrs, 200M+ SKUs in production | Generalist | Generalist | AI-first, domain-light | Depends on hire |
Pick a global consultancy for board-level programme cover. Pick an AI-native boutique for a pure research problem. Pick us when the AI has to survive contact with real operational data — and someone has to still own it in year three.
Short answer: buy when the process is standard and your data is clean; build when the workflow is your advantage, the data is high-volume or messy, or integration depth decides the outcome. We do both — our own products where they fit, custom development where they do not.
| Criteria | Custom AI with Bintime | Off-the-shelf AI tool |
|---|---|---|
| Best when | The workflow is your competitive advantage | The process is standard and already clean |
| Messy, high-SKU data | Handled in the build — data first | Needs cleaning before the tool works |
| Integration depth | Direct into ERP, PIM, WMS, MES | Connectors only; edge cases stay manual |
| Time to first value | ~30 days to a working agent on your data | Days — then a plateau |
| Cost shape | Project or team cost; the asset is yours | Per-seat licence, rises with usage |
| Data sovereignty | EU delivery, ISO 27001, your environment | Vendor-hosted, vendor terms |
| Bintime route | Custom build, senior-led | Gepard or B-Hive where they fit |
Undecided? The AI readiness assessment answers build-vs-buy per use case before you commit budget.
Tell us what’s stuck — we’ll tell you exactly what team solves it.
From frontend to infrastructure, from mobile to machine learning. If your engineering problem lives here, we have the engineers for it.
A software development company plans, builds, tests and maintains software for other businesses. Bintime covers the full cycle — business analysis, architecture, UX, engineering, QA, deployment and long-term support — either as a full delivery partner or as senior engineers working inside your own team.
A contained pilot or MVP usually takes 6–12 weeks. A full platform build typically runs four to nine months to first release, then continues as a roadmap. Engineers joining an existing codebase are productive in 2–4 weeks. Timelines are confirmed after discovery, not before it.
It depends on the engagement model. A standing team of senior engineers costs 30–50% less than equivalent EU in-house. Assessments and contained pilots are fixed-fee and quoted upfront. Team augmentation runs month-to-month; project work can be fixed-outcome.
Ask for delivery history rather than logos: completed projects, how long clients stay, and references you can call. Check who owns the architecture, how senior the actual team is, where your data is processed, and what happens to the code and IP. Bintime is EU-based and ISO 27001 certified, with 20+ years of delivery.
Agentic SDLC means AI agents execute implementation work while human engineers own the spec, the architecture and the quality bar. Vibe coding accepts AI output unreviewed. Nothing here is merged unreviewed.
Yes. Team augmentation places 1–15 senior engineers in your team and codebase, productive in 2–4 weeks, month-to-month or fixed-term. Project outsourcing and a dedicated development pod cover full end-to-end ownership.
Industrial and B2B distribution, manufacturing, e-commerce and omnichannel retail, logistics and supply chain first — plus energy, food & beverage, telecom, pharma, agtech and healthcare. The common thread is heavy SKU, object and event data.
ISO 27001 certified and GDPR compliant, delivered from the EU (Netherlands and Estonia) with data-sovereign, audit-ready processes. Security governance is part of every engagement, not an add-on.
A free short scan first, then a fixed-fee four-week assessment of your data, systems and AI readiness — maturity scorecard, risk register and a 90-day roadmap. Prefer to talk first? A 30-minute call works too.
“We have been working with Bintime for more than 15 years. They are dedicated and will always help to find a solution for our wishes and problems.”
A 30-minute call. We’ll tell you exactly what team solves it and how fast they can start.
Our sales team will reply within one business day to set up your 30-minute call.
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