bards.ai

Bards.ai is a Poland-based AI development and consulting firm focused on custom machine learning solutions, natural language processing, and R&D for product companies. The team has won 12+ international hackathons and published 10 scientific papers on AI. They work with mid-market SaaS companies and enterprises to build AI features, conduct R&D, and extend in-house teams without the overhead of traditional hiring.

The company positions itself as an alternative to both in-house AI recruitment and generic software houses. Rather than managing complex projects or relying on expensive API solutions, clients can access data science engineers with proven track records in production AI systems. Bards.ai describes their team as "bards Architects"—data science engineers with both academic credentials and commercial shipping experience.

Services and capabilities

Bards.ai offers three primary service lines: AI research and development, team extension, and AI consulting. On the R&D side, they lead the research phase of projects and develop novel solutions. Their team extension model lets companies add specialists without recruitment friction. The consulting service covers landscape guidance—helping clients choose between approaches like custom models versus fine-tuned off-the-shelf solutions.

They work across natural language processing, data engineering, computer vision, machine learning, and large language models. Concrete technical examples appear throughout their case studies: they've built computer vision pipelines using YOLO and DETR for Comcast, developed AI agents combining vision and HTML parsing for Chili Piper, and created multi-stage NLP pipelines for Surfer's content generation product. For Surfer, they built over 30 interdependent ML modules and evaluated multiple foundation models (GPT-3.5, GPT-4-32k) before launch.

The company also operates an audit service, though details are sparse in the source material.

Notable work

Comcast engaged Bards.ai to automate UI element annotation in their video-on-demand testing workflow. The team built a computer vision system using open-source models (YOLO and DETR) embedded in AWS serverless infrastructure. Active learning let human testers correct predictions, retraining the model iteratively. Results: 92% pre-annotation accuracy and a 5x–10x reduction in manual tagging workload.

Chili Piper, a demand conversion platform handling 500 outbound meetings per quarter, needed to automate prospect form discovery and filling. Bards.ai developed a Form Flow Grabber using computer vision and intelligent HTML parsing to detect forms (including dynamically loaded ones), fill them with contextually appropriate data, and capture screenshots for personalized outreach. The tool saves each SDR roughly 25 hours per week (5 minutes × 300 accounts).

Surfer SEO, a global SaaS leader in content optimization, brought Bards.ai in to develop Surfer AI—a generative writing tool that automates 85% of article research, writing, and optimization. The project involved a one-month proof of concept, then a production pipeline with 30+ NLP stages. The team integrated GPT-4-32k before Surfer's launch, making Surfer the first SEO tool with that capability. Post-launch, they conducted weekly ML improvements; AI satisfaction scores doubled. The product now handles millions of LLM tokens daily and has sold 100K+ credits in six months.

Brand24 received a custom AI assistant for SaaS metrics and analytics. Easy Docs got an AI data extraction solution with continuous learning. Both are listed on their case study index but lack detail in the source.

How they work

Bards.ai engages on a project basis. For Surfer, the structure was: consultations → one-month proof of concept → production build → ongoing real-time improvements. The Comcast project and Chili Piper engagement followed similar phased approaches (requirements analysis, prototyping, tuning, deployment). The source doesn't specify fixed pricing, hourly rates, or minimum commitments. They offer free consultations to discuss scope.

Communication and methodology aren't detailed, but the case studies show they conduct early consultations to scope work, deliver prototypes quickly (Surfer's PoC was one month), integrate client feedback loops (active learning with Comcast, weekly user feedback with Surfer), and participate deeply in technical decisions (choosing foundation models, evaluating pipeline quality).

Team and credentials

The source does not name founders or provide explicit team size. However, the tagline "bards Architects" and repeated emphasis on "data science engineers with extensive experience in AI projects and scientific achievements" suggests a lean, specialized team rather than a large body shop. They have published 10 scientific papers on AI and won 12+ international hackathons (HelpHack by Capgemini Engineering, Supervision Hack by UKNF, BCG Platinion Hackathon 2021, Open Banking Hackathon), indicating both R&D depth and hands-on engineering chops.

No certifications (ISO 27001, SOC 2, GDPR compliance) are mentioned in the source. No partner status with major cloud providers or technology platforms is listed. Client testimonials come from Alina Vandenberghe (CEO, Chili Piper), Bartłomiej Korpus (CTO, SurferSEO), Michal Sadowski (CEO, Brand24), and Piotr Sędzik (CEO, Momentum), all confirming quality of work and proactive problem-solving.