AI development · AI agents · Custom software development
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. Zero failed deliveries.
Services
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 agents · automation
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 developmentAI transformation
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 servicesCustom development
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 developmentModernization
Gradual, no-big-bang migration of the stack that is blocking growth, M&A or a new market — while the business keeps running.
Legacy modernizationTeam capacity
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 modelsData foundation
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 modernizationBuilt by Bintime
We build and use these ourselves. They appear inside engagements as the natural answer to a problem we find — not as an upsell.
Centralizes and syndicates product data across every channel. When fragmented product data surfaces in an audit, Gepard is the fix.
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.
Who is Bintime
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.
Data- and SKU-heavy operations straining under growth, with decisions made at CEO / CTO level.
Post-raise deadlines, a platform to harden, and no six months to spend hiring.
A division, programme or product line that needs a specialist EU partner — ISO 27001, GDPR, audit-ready.
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.
EU compliance
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.
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.
Industries
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
The 2026 difference
Vibe coding got the headlines. Agentic engineering is what professional software delivery actually looks like — and it’s how we’ve maintained zero failures across 20 years.
Fast to start. Fragile at scale.
Engineers orchestrate. Agents execute. Humans own.
Zero failed deliveries across 20 years. This is how Bintime builds — always has.
Where software delivery is heading
Most 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.
Book a 20-minute callEngagement models
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.
How it works
From first conversation to engineers working in your codebase, we move fast — weeks, not months.
You tell us what’s stuck. By the end you know whether we can help and what model fits.
We scope skills, seniority, size, start date. A BA maps your environment before anyone codes.
No recruitment lag. The team is matched, briefed, and delivering. You meet them before they start.
Sprint reviews, clear metrics, a single point of accountability. You always know what’s shipping.
Icecat
22 yrs of cooperation
Eden Technology
2 years of cooperation
Futurumshop
15+ yrs of cooperation
PriceSpider
11 yrs of cooperation
I&B Monitoring
6 months
Gepard PIM
3 yrs of development
Average client relationship: 10+ years · Zero failed deliveries in 20 years
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 and Alibaba.
Read the case study
B2C e-commerce
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.
Read the case study
B2C e-commerce
A highly personalised B2C webshop, iOS and Android apps, and the loyalty bonus programme behind them — with Bintime carrying end-to-end IT responsibility.
Read the case study
B2B SaaS
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.
Read the case study
Prototyping
Product vision, detailed requirements and an intuitive interface for the MVP — from a blank page to something investors and users could actually try.
Read the case study
PIM
An embedded OpenAI model took over product-data mapping in Gepard, turning the slowest manual step in onboarding a catalogue into an automated one.
Read the case studyData solution · 3 months
“I like the way they operate — it was like we were working together in one team. It has taken only 3 months to receive a stable data solution which is used till today.”
Long-term partnership
“The core team is very loyal. They understand information management and communication, and efficiency has increased due to our long relationship.”
Prototype to product
“Bintime has proven to be a trustworthy and reliable partner, demonstrating a clear commitment to understanding our needs and delivering on expectations.”
Why Bintime
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.
How we compare
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.
| 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.
Build vs buy
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.
| Off-the-shelf AI tool | Custom AI with Bintime | |
|---|---|---|
| Best when | The process is standard and already clean | The workflow is your competitive advantage |
| Messy, high-SKU data | Needs cleaning before the tool works | Handled in the build — data first |
| Integration depth | Connectors only; edge cases stay manual | Direct into ERP, PIM, WMS, MES |
| Time to first value | Days — then a plateau | ~30 days to a working agent on your data |
| Cost shape | Per-seat licence, rises with usage | Project or team cost; the asset is yours |
| Data sovereignty | Vendor-hosted, vendor terms | EU delivery, ISO 27001, your environment |
| Bintime route | Gepard or B-Hive where they fit | Custom build, senior-led |
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.
Book a 20-minute callTechnical capabilities
From frontend to infrastructure, from mobile to machine learning. If your engineering problem lives here, we have the engineers for it.
Questions
AI agent development services build software agents that do real operational work — reading your data, deciding, acting inside your systems. At Bintime the agent is specified first, built by senior engineers, and evaluated against your own data before it goes near production.
A fixed-fee four-week assessment of your data, systems, processes and team: a maturity scorecard, a risk register, AI use cases ranked by value and feasibility, and a 90-day roadmap. Only about 30% of AI readiness is technology — data and process are usually the real blockers.
The assessment is fixed-fee. A contained AI pilot on your own data is fixed-fee and runs about 30 days. A standing team of three senior engineers starts around €161k/yr — 30–50% below equivalent EU in-house cost. Exact scope is confirmed on a short call.
Buy when the process is standard and the data is clean. Build when the workflow is your competitive advantage, the data is high-volume or messy, or integration depth decides the outcome. See the build-vs-buy comparison above — and we do both.
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 — which is how we have kept zero failed deliveries across 20 years.
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.
Start a conversation
A fixed-fee assessment of your data, systems and AI readiness — maturity scorecard, risk register and a 90-day roadmap. Prefer to talk first? A 20-minute call works too.
Not ready for an assessment?
A 20-minute call. We’ll tell you exactly what team solves it and how fast they can start.
“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.”
Our sales team will reply within one business day to set up your 20-minute call.
Skip the wait — pick a time now →