3D printing and additive manufacturing businesses lose hours every day to the same bottlenecks: quoting done by hand, job queues tracked in spreadsheets, print farm status visible only when someone walks the floor. As order volume grows, those manual processes become the ceiling on what your business can produce and the floor on what customers expect.
Instant online quoting portals that price FDM, SLA, and SLS jobs from uploaded CAD files in under 60 seconds
Print farm dashboards that centralise job status, printer health, material tracking, and failure alerts across every machine
Customer portals with real-time order tracking, file management, and re-order workflows
Quality control systems with inspection checklists, pass/fail logging, and rejection reporting tied to each production run
The problem
Quoting each order manually while competitors respond with instant pricing in under 60 seconds?
Print farm running across 20, 50, or 100 printers with no centralised view of job status, material levels, or failures?
Customers calling or emailing for order updates because there is no self-service tracking portal?
Short answer
RaftLabs builds custom 3D printing software for additive manufacturing service bureaus, print farms, and on-demand manufacturing platforms: instant quoting portals, print job queue management, fleet monitoring dashboards, customer order tracking, and quality control tools. A focused v1 launches in about 10-14 weeks at a fixed, agreed cost, then grows into a full platform.
3D printing software runs the commercial and operational side of an additive manufacturing business. It covers quoting and order intake, print job scheduling, fleet monitoring across many printers, customer order tracking, and quality control. Unlike slicing or design-for-additive-manufacturing (DfAM) tools that prepare a part for the machine, these platforms run the business around the machine: pricing, throughput, material traceability, and part qualification.
01 Diagnosis
Your quoting process is manual while customers expect instant pricing
When a new order arrives, someone on your team downloads the file, loads it into a slicer, estimates print time and material, applies a margin, and emails the customer a quote. For a £50 job that takes the same time to quote as a £5,000 order, the economics break down fast. Customers who get an instant quote from a competitor's website at 2am won't wait until Monday morning for yours.According to AMFG, service bureaus that deploy automated instant quoting report processing up to 10 times more quote requests without increasing headcount. A quoting engine that parses uploaded CAD files, calculates volume and surface area, applies your process-specific pricing rules, and returns a number in under 60 seconds converts that manual bottleneck into a competitive advantage. Your team handles the exceptions; the system handles the volume.
Your print farm status is invisible until someone walks the floor
Running 20, 50, or 100 printers without a centralised monitoring layer means failures go undetected until a print completes incorrectly, material runs out mid-run, or a hot-end jams and wastes hours of print time. The cost is not just the failed print: it is the machine time, material, and the re-print cycle that pushes the order past its promised date.A fleet dashboard that pulls live status from every machine, regardless of brand, gives operators a single view of job progress, temperature readings, material levels, and active alerts. Failures trigger an alert before the bad print completes rather than after. Operators cover more machines per shift because the system surfaces what needs attention rather than requiring a physical check of every printer.
Customers have no visibility into their order once it leaves the quoting stage
When customers can't see where their order is, they call or email. Your team answers the same status questions repeatedly, pulling their attention away from production. For businesses processing hundreds of orders per week, that support overhead is not trivial. It also signals to customers that your operation is not at the level they expect.A customer portal that shows real-time order status, estimated completion, shipping tracking, and order history removes the support burden from your team and raises the standard of service your customers experience. Re-ordering the same part becomes a single click. File revisions and design change requests come in through a structured channel rather than via email threads.
Quality control data lives in paper logbooks that no one analyses
Post-print inspection carried out with a paper checklist means quality data exists but in a form that is impossible to query. When a customer raises a defect claim, finding the inspection record for that specific job requires searching physical binders. When the same defect appears on 15 parts across three weeks of production, no one spots the pattern until the problem is acute.A digital quality control system tied to each production run logs inspection results against the job, the machine, the material batch, and the operator. Pass/fail rates surface by machine and by material. Rejection trends identify the printer or process step generating the most rework. That data lets you fix problems before they become complaints.
02 What we ship
We build quoting engines that accept file uploads in STL, STEP, OBJ, 3MF, and other common CAD formats, parse geometry to extract volume and surface area, and apply your pricing logic per process (FDM, SLA, SLS, MJF, DMLS, PolyJet). Material selection, colour, infill, lead time, and quantity pricing tiers are all configurable through an admin interface without requiring code changes.
Payment processing integrates with Stripe, so customers can pay at the time of quoting. Confirmed orders pass automatically to your job queue. The customer receives an order confirmation with tracking information. Your team sees the new order in the production queue without manual data entry.
Built for 3D printing service bureaus replacing manual email quoting, on-demand manufacturing platforms competing on response time, and rapid prototyping businesses that want to convert website visitors to paying customers without sales team involvement.
Job queue management covers everything between confirmed order and completed print: assigning jobs to specific printers based on process type, build volume, and current utilisation; grouping compatible parts onto build plates to maximise machine efficiency; tracking job status through preparation, queued, printing, post-processing, and quality check stages; and flagging jobs at risk of missing their promised date before the deadline passes.
Scheduling logic accounts for material changeovers, post-processing time (curing, support removal, surface finishing), and downstream capacity at each stage. When a print fails mid-run, the system re-queues it at the correct priority level rather than losing it in a manual tracking sheet.
Built for service bureaus managing order volumes that outgrow spreadsheet tracking, print farms running multiple processes on different machine types, and on-demand manufacturing platforms that need production visibility tied to customer order status.
Fleet dashboards connect to printers via OctoPrint, Moonraker, Bambu Cloud, or manufacturer APIs, aggregating job progress, nozzle and bed temperature, material consumption, camera feeds, and failure alerts into a single interface. Where a printer has no direct API, integration runs through the management layer already in use (3DPrinterOS, SimplyPrint, AstroPrint).
Alert logic differentiates between conditions that need immediate operator attention (print failure, temperature out of range, material empty) and informational updates (job 80% complete, estimated finish time). Operators covering large printer counts see which machines need intervention without checking each one physically. Shift handover reports generate automatically from the previous period's production data.
Built for print farms scaling past 20 machines, service bureaus running mixed fleets across multiple brands, and manufacturing operations where downtime data feeds into customer SLA reporting.
Customer portals give buyers a structured interface for their ongoing relationship with your production operation: order history with job-level status and estimated completion, downloadable invoices and delivery documentation, file storage so previously ordered parts re-order in one click, and a channel for design revision requests that creates a traceable record rather than an email thread.
Notification preferences let customers choose how they receive updates (email, SMS via Twilio, or in-portal). B2B customers with multiple users on one account get team-level order visibility with role-based access so buyers can place orders and approvers can review spend before confirmation.
Built for service bureaus whose customers order repeatedly and expect account-level visibility, manufacturing platforms with enterprise clients managing multi-line purchase orders, and on-demand businesses where re-order rate is a core business metric.
Digital QC systems replace paper inspection logs with structured data tied to each production run. Inspection checklists are configured per process type and material, covering dimensional accuracy checks, surface quality grading, support removal confirmation, and colour match verification. Pass, fail, and conditional pass outcomes are logged against the job, machine, operator, and material batch at the point of inspection. For powder-bed processes, each part links to its powder lot and the machine parameter set it ran on, so material traceability and first-article qualification records stay attached to the job rather than living in a separate spreadsheet.
Rejection data aggregated across jobs surfaces defect rate by machine, by material supplier, by operator shift, and by geometry type. That analysis identifies the root causes of rework before customers see the problem. When a customer raises a defect claim, the inspection record for their specific job is retrievable in seconds, with a documented audit trail.
Built for service bureaus with ISO 9001 or AS9100 compliance requirements, additive manufacturing operations supplying aerospace or medical device customers with documented quality evidence, and print farms where defect rate data directly affects material purchasing decisions.
Traditional ERP and MES systems were not built around additive manufacturing workflows. The result is manual data re-entry between systems, production schedules that don't account for print time variability, and material consumption tracking that lags behind actual usage. We build the integration layer that connects your quoting portal, job queue, and fleet monitoring data to the ERP or MES system your broader operation runs on.
Integration points typically cover order confirmation handoff from quoting to production planning, material consumption posting from print completion to inventory management, and job cost actuals (machine time, material, operator time, post-processing) flowing back to the ERP for margin analysis. Supported systems include SAP, NetSuite, Epicor, and custom MES platforms via REST API, GraphQL, or webhook events.
Built for manufacturing businesses that run additive alongside traditional CNC or injection moulding processes and need a single operational view, production operations where additive is one node in a larger supply chain, and service bureaus whose customers require integration into the customer's own procurement or ERP system.
03 How we work
Trusted by
04 Track record
05 Why us
06 Questions
Yes. We build instant quoting engines that parse uploaded CAD files (STL, STEP, OBJ, and other formats), calculate volume and surface area, apply your pricing rules per process (FDM, SLA, SLS, MJF, DMLS), and return a quote in under 60 seconds. Material options, colour selection, lead time, and quantity pricing tiers are all configurable without code changes.
We confirm what your ERP or MES exposes via API during the discovery phase. Most modern manufacturing systems including SAP, NetSuite, Epicor, and custom MES platforms support REST or webhook connections. Confirmed orders flow from the portal into your production system automatically, cutting the manual data re-entry step that creates errors and delays.
A focused first build, like a standalone instant quoting portal or a fleet monitoring dashboard, launches as a validated v1 in about 10-14 weeks and starts around $25k-$45k. A full platform covering quoting, job queue management, print farm monitoring, and customer tracking grows to $80k-$150k over 20-24 weeks. Cost is fixed and agreed before development starts.
Yes. We build printer-agnostic fleet dashboards that pull status via Moonraker, OctoPrint, or manufacturer APIs. Where a printer has no direct API, we integrate via the management layer you already run (3DPrinterOS, Bambu Cloud, SimplyPrint). The dashboard aggregates job progress, temperature readings, failure alerts, and material levels across every machine regardless of brand.
Off-the-shelf tools like SimplyPrint or 3DPrinterOS cover fleet monitoring well for standard operations. Build custom when the business workflow around printing is the differentiator: your quoting logic, your customer portal experience, your quality control process, or your integration with a fulfilment or ERP system. Most service bureaus reach a point where generic tools handle 80% of their needs but cannot support the 20% that makes their service different. That 20% is what we build.
Yes. Connecting quoting to production is the most common gap we close for service bureaus. An order confirmed through the quoting portal creates a job record in the queue, assigns to the correct machine type, tracks through each production stage, and triggers the customer notification when it ships. The customer sees a consistent order status from quote to delivery; your team manages the full lifecycle from one interface.
Tell us what you are building and we will scope it out together.
Stay on topic
Service
Enterprise Asset Management Software Development
See the service
Service
Field Operations Management Software for Oil & Gas
See the service
Service
AI for Predictive Maintenance
See the service
Service
AI for Manufacturing Companies
See the serviceProof
How Snelweg Deals moved from offline car resale to a structured digital auction marketplace
Read the case studyTry it yourself
Build vs Buy Calculator
The real cost of building in-house (most teams miss 40%).
Open the free tool