Services
Bridging technology and culture
Over 20 Years of Expertise in AI-Powered Document Recognition
With more than 20 years of research and development, TEKLIA stands as a european leader in AI-driven document recognition and automated document processing.
With the rapid advances in Deep Learning, document recognition technologies have undergone a major transformation in recent years. TEKLIA's domain expertise is a key success factor in evaluating and integrating these new technologies in our clients' workflows.
Our value lies in continuous technology monitoring and real-world testing, particularly in the GLAM sector (Galleries, Libraries, Archives, and Museums). This allows us to guarantee project feasibility and select the most advanced solutions in adequation to each client’s needs.
Benchmark of the best performing AI models for your specific task
Implementation of a collaborative workflow and an efficient processing chain
Definition of clear quality controls and validation processes
Anticipation of our client's needs, frequent project updates and feedback
Early-Stage Project Advisory
We help you define and shape your AI project from the start, guiding you toward the most adequate technology.
Project maturation is needed to ensure you choose an AI solution that is adapted to your final objective. Our experts provide insight
upstream, analysing the characteristics of the document corpus, as well
as downstream, helping you target what is done with the result.
✧ Understanding Needs
Goal specification
Identify target audiences and expected value outcomes.
Data Scoping
Assess document corpus characteristics and volume.
Constraints Analysis
Evaluate budget limitations and data sensitivity.
✧ Initial testing
Sample Collection
Gather a representative sample (around 10 pages) for initial testing.
- Testing & Analysis
Run benchmark tests using off-the-shelf AI models.
Solution Proposal
Recommend several tailored technological options based on project constraints and objectives.
Project methodology
TEKLIA has developed a methodology suited to conducting document processing projects based on machine learning or deep learning technologies. Once your objectives are clear and we have run preliminary tests, our team can start delivering AI processing within the following framework.
✧ Initialization
Defining the scope
Identify the project’s objectives, data sources, target metrics, and annotation procedures.
Collecting Ground Truth
Gather and clean your data to build a reliable reference dataset.
✧ AI Configuration
Depending on the chosen solution :
Evaluation of Generic Models
Test pre-trained models against quality goals to select the most suitable baseline.
Fine Tuning of Generic Models
Adapt selected models using project-specific data to improve performance.
Training of Specific Models
Develop and train a custom model when generic models are insufficient.
➤ Production
Production
Combine AI automation with human review to handle complex or low-confidence cases.
Quality control
Verify accuracy and consistency. Evaluate compliance with defined quality standards.
System Integration
Deploy the validated production into the organization’s infrastructure.
Services Pricing
The projects carried out by TEKLIA have variable costs. The table below allows you to identify the expenditure items required for your projects based on your in-house skills and your infrastructure and performance requirements.
Cost of service
Choose the level of service that best fits your expertise, support needs, and budget:
Free
- Self-managed projects
- You have the skills in-house to manage your processing project.
Service-based pricing
- Training and consulting
- You need our team's technical advisory in conducting your project.
Full-service pricing
- Full-packaged document processing services
- You charge our team of conducting your processing projects under your supervision.
Cost of Infrastructure
Choose the infrastructure that best fits your security, control, and budget requirements:
Free
- On-premises, self-managed
- You host and manage the platform within your own infrastructure.
Service-based pricing
- On-premises, managed by TEKLIA
- TEKLIA ensures deployment, maintenance, and updates on your servers.
Full-service pricing
- Dedicated instance hosted by TEKLIA
- Exclusive infrastructure, fully managed and monitored by TEKLIA.
Cost of Al models
Select the approach that best matches your ethical principles, performance goals, and budget :
Free
- Open-source models
- Rely exclusively on open, transparent models ensuring full reproducibility and data control.
License-based pricing
- Commercial pre-trained models
- Use off-the-shelf solutions, including LLMs (Generative Al).
Full-service pricing
- Custom models trained by TEKLIA
- TEKLIA develops and fine-tunes models tailored to your document and processing needs.