Frequently Asked Questions

We structure our teams to enable focus and rapid career progression.

• Engineering: We follow the Team Topologies framework. You will work in dedicated sub-teams (DevOps & QA, Backend & ML, Fullstack) guided by Heads of Engineering. Our CTO works closely with Customer Success to ensure our tech solves real user problems.
• Sales & Business: We actively coach our SDRs for fast career growth, helping them progress toward closing deals. Our Senior AEs and Customer Success teams collaborate closely to align on long-term customer value.

Scalera is a fast-growing, well-funded startup backed by some of the best talent in the industry. We combine technical excellence with deep business and construction expertise.

• Who we look for: Exceptional talent who thrive on ownership, act with speed, and prioritize growth over comfort.
• Social Life: We genuinely enjoy each other's company. Whether it's lunch, events, or just daily interactions, we make time to have fun together.

We have built a modern, cloud-native platform designed for speed and scalability.

• Backend: Our core application is developed in Python using Django for business logic and FastAPI for high-performance APIs, backed by PostgreSQL.
• Infrastructure: We run on Google Cloud Platform (GCP), fully managed and provisioned using Terraform, with deep integrations into OpenAI.
• Frontend: Our user interfaces are built with React and Next.js, delivering fast and highly interactive web experiences.

We value potential and adaptability. Since our product is deeply embedded in the construction ecosystem, knowledge of the industry is an advantage, but rarely a strict requirement.

• For Engineering Roles: Solid knowledge of our technology stack (Python, React, etc.) is required.
• Exceptions: This technical requirement does not apply to internship or graduate roles, where we focus more on your ability to learn.

We believe in respecting your time while ensuring a perfect mutual fit. Each role follows a streamlined, three-step process:

• Step 1: Get in Touch (15-30 min): A casual introductory call with a recruiter to align on expectations and background.
• Step 2: Skills & Competency (45 min): A deep dive into your expertise and problem-solving approach with the hiring manager.
• Step 3: On-site Experience Day: Visit us at Scalera HQ for a presentation interview, meet the team, and enjoy lunch with us to get a feel for our culture.

A location is a segmented team of users within your Scalera account that can have distinct product catalogs, workflows, and branding preferences. Users can only access tenders and offers from locations they are associated with. There is no limit on the number of locations a user can be associated with.

Data protection is Scalera's top priority. Your data is protected both during transmission via TLS and in the cloud through end-to-end encryption. We apply the principle of least privilege and regularly adjust access permissions. Additionally, we use cloud security posture management to monitor and secure our cloud environments.

Yes, many customers start with their highest-volume or most standardized product lines, then expand to other departments or locations after proving value.

Yes, Scalera recognizes both your own products and competitor products mentioned in specifications, and suggests the best matching alternatives from your product catalog.

A credit is a unit of value that can be exchanged on the Scalera platform to process tenders. Each Scalera subscription plan comes with an annual credit allowance tailored to your tender volume.

No, Scalera is web-based and requires no local installation.

Credits are consumed when you process a tender request through Scalera - including position extraction and product matching. You need two credits to process one tender. One credit is used when extracting relevant tender positions and one credit is consumed when generating the AI-product recommendations. Once a tender is processed, any revisions or updates to that same tender will not cost additional credits.

Scalera excels at extracting information from text-based specifications. For drawings, we focus on extracting relevant text information and technical parameters rather than visual interpretation.

Scalera can be integrated with various ERP, CRM, and PIM systems. For ERP systems, Scalera includes pre-built interfaces in SAP IDoc format, a pre-built REST API, and the ability to configure custom interface formats. Other interfaces, webhooks, and data exports in various formats are also possible.

We use private AI instances and your data is never used to train public LLMs. Scalera is ISO-certified for data security, and we can provide detailed information about our data processing agreements and infrastructure.

Implementation typically takes 2-12 weeks, depending on complexity. Most customers with standard products can go live within 2-4 weeks. We include onboarding and training in this timeline.

Yes, the AI learns from employee behavior and can suggest complementary products/accessories.

Customers typically report 60-80% time savings in tender processing. This time is often reinvested in customer consultation, business development, and project follow-up, which increases win rates by 5-9%. Furthermore, customers report a higher frequency of complementary products that are offered as well as a reduced number of errors in offers.

Scalera accompanies you with our Customer Success Team from implementation through testing to providing training resources as part of the Software Academy.

License costs typically range from €8,000-€60,000 annually depending on the number of tenders processed. Most customers achieve payback within 1-4 months.

Scalera uses confidence scores to indicate certainty levels. Low-confidence matches are flagged for employee review, allowing you to prioritize where to invest time or request clarification from customers.

Scalera remembers when multiple products were offered together and can suggest product combinations.

Scalera works best with standard products (with fixed article numbers) and configurable products with up to 30 definable attributes. The AI extracts technical specifications from tender documents to match the right product variant.

Scalera recognizes tender requests directly in email texts, even when there is no separate tender document. The system automatically reads the requested positions from the email text and extracts the associated quantities and units where available.

Our software processes PDFs (scanned and digital), GAEB files, Excel/CSV files, XML, emails (with free text or attachments), and ÖNORM/ONLV formats.

If a conversion factor is specified in your product data, Scalera automatically converts. If that's not possible, Scalera provides a notification and you can add the converted quantity manually.

Yes, Scalera integrates with your existing systems. We can import product data via manual upload (updated quarterly) or through live API integration with systems like SAP and others. Price calculations remain in your ERP/CRM system.

This depends on your product portfolio and the type of requests you receive. Scalera learns continuously and often provides useful product suggestions from the first offer onward. We recommend 50-150 completed offers for optimal results, depending on the complexity of your product portfolio.

Scalera supports all major European languages including German, English, French, Italian, Spanish, and more. This goes both for tender documents as well as the user interface for your employees.

Yes, Scalera learns continuously. With each completed offer, Scalera remembers which products were offered for each tender position. This makes the product suggestions increasingly accurate and relevant over time.

Click on the suggested product to see a list of alternative suggestions from the AI that can be selected directly. Alternatively, use Scalera's intelligent product search, which finds matching products from your complete portfolio in real time as you type.

Yes, Scalera categorizes positions by product groups, allowing different team members to filter and work on their relevant sections simultaneously.

No, the offers you complete are used only for your own product suggestions. There is no cross-customer AI training.