Jellyfish.tech

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Overview

$10,000+

Min Project Size

$25 - $49/hr

Avg Hourly Rate

10 - 49

Employees

2016

Year Founded

ABOUT JELLYFISH.TECH

We solve business and social problems with tech

At Jellyfish.tech, we connect the gaps between demo functionality and production readiness. In a time where AI prototypes can be created quickly, the real challenge lies in building correctly. We excel in transforming intricate ideas into reliable, scalable, and secure digital solutions. Whether we're creating an AI agent from the ground up or rejuvenating an outdated system that has reached its limits, our focus is on engineering excellence that supports business expansion. Our strengths include: - **AI-Driven Development & R&D**: We create intelligent systems (LLMs, Agentic AI, Vector search) with deterministic logic and predictable costs, going beyond the initial excitement. - **Software Modernization (The "Rescue Mission")**: We take charge of outdated or fragmented AI-generated code, refactor its architecture, and enhance its scalability. - **MVP to Scale**: We leverage AI to prototype quickly, but apply experienced human judgment to ensure that the foundation can support the initial 10,000 users. **The Jellyfish.tech Benefit**: - We decrease time-to-market by 30% with AI-powered prototyping (like Vercel v0), helping you validate ideas before investing heavily in development. - We don't merely "prompt" code; our experienced engineers lay out the architecture first, ensuring that AI-generated contributions are secure, tested, and sustainable. - Founded by product leaders, we communicate in terms of ROI and business logic, rather than just technical syntax and frameworks. - We prioritize quality over quantity, offering direct access to seasoned expertise, transparency, and a team that is fully committed to delivering results. **Core Industry Expertise**: - AdTech & Marketing Automation (tools for Google Ad Grants, keyword intelligence, ROI tracking) - Complex SaaS & Enterprise (Project Portfolio Management, workflow automation) - AI Intelligence (meeting automation, Agentic workflows, R&D)

Tech Stack

Amazon Application Development FrameworkGoogle app engineHerokuAzure PlatformLinux serverWagtail CMSDrupalWordPressNetlifySanity CMSDjangoReact+8 more

Languages Spoken

EnglishUkrainian

HIGHLIGHTS

$10,000+

Min Project Size

$25 - $49/hr

Avg Hourly Rate

10 - 49

Employees

2016

Year Founded

Services

Focus

Industries

Clients

Services Provided

20% Custom Web Application Development

5% Mobile App Development (iOS & Android)

25% Legacy System Modernization

50% AI Strategy & Roadmap Consulting

About the Team

OUR STORY

BrainRocket is a dynamic global technology company specializing in end-to-end solutions for Fintech, iGaming, and Marketing sectors. With a vibrant team of 1,300 talented professionals, BrainRocket has made a significant impact across countries including Cyprus, Malta, Portugal, Poland, and Serbia. The company's approach defies traditional formats, focusing on rapid development and deployment of innovative products that meet client needs effectively. With headquarters in Warsaw, Poland, BrainRocket emphasizes a fast-paced, creative work culture where shaping new trends and delivering impactful technology solutions are at the forefront of its mission.

Portfolio

Stabilizing a Vibe-Coded AI MVP for Scaling

Unknown

Counselor is a US-based EdTech startup focused on digitalizing college consulting. The founder initially developed a prototype using AI tools that was designed to have a certain "vibe." While it performed well in demonstrations, the product was unstable, with the AI providing inconsistent recommendations, users experiencing endless loops, and a rigid frontend that hindered updates. We were brought in to stabilize the minimum viable product (MVP) and transition it from an AI experiment to a market-ready solution. **Our Role: AI Stabilization & Engineering Discipline** Jellyfish.tech functioned as a "Rescue Team." Instead of a costly complete overhaul, we implemented effective stabilization strategies on the existing prototype, focusing on solid engineering practices and improving user conversion. **Key Engineering Highlights:** - **Structured Prompt Management:** We relocated prompt logic to the backend and devised structured templates with fallback options. This approach reduced unpredictable AI outputs and ensured consistent, relevant college recommendations. - **De-monolithing the Frontend:** We dismantled the fragile, AI-generated monolithic frontend into separate, maintainable components, enabling quicker updates without risking the integrity of the entire user interface. - **Conversion Funnel Engineering:** We restructured the user experience into a clear four-stage process (Intake → Clarification → Shortlist → Application), ensuring that every user reached the final recommendation screen, regardless of their initial input complexity. - **Smart Stabilization vs. Rebuilding:** We retained the effective aspects of the original prototype, replacing the malfunctioning components with engineered solutions, which saved both time and budget for our client. **The Outcome** We transformed a problematic codebase into a stable, investor-ready MVP. Counselor now boasts a dependable user journey and a modular architecture capable of handling real-world traffic and accommodating future feature development. **Technologies Used:** Python, React, AI Prompt Engineering, Backend Architecture, EdTech.

Rapid MVP Validation via Low-Code & AI

Unknown

The founder recognized a significant issue in church communications, where staff were spending over 180 hours each year on repetitive writing tasks. This inspired the development of ChurchCopy.ai, an AI solution designed specifically for the sensitive language used within faith-based communities. The aim was to quickly create a functional Minimum Viable Product (MVP) to test market demand before moving on to comprehensive native development. Our Contribution: Strategic Low-Code Development & AI Optimization Jellyfish.tech served as a rapid-response partner, opting for a Low-code (Bubble) method to prioritize quick market entry and ongoing feedback. Key Engineering Aspects: - Agile Low-Code Execution: Leveraged Bubble for fast prototyping, enabling the client to trial features with actual users in real time and make daily adjustments based on their input. - Tone-Sensitive AI Logic: Customized AI prompts to cater to the subtle "church-appropriate" tone required for newsletters, social media posts, and scripts. - Enhanced AI-Generated User Experience: Refined basic AI-generated mockups into a user-friendly interface suitable for volunteers with minimal technical expertise. - Future-Ready Architecture: Designed the low-code MVP as a strategic foundation, ensuring the data structures are prepared for a forthcoming switch to a native backend. Results: The MVP effectively confirmed the market niche, cutting down manual writing time to just minutes. We demonstrated that a low-code/AI hybrid approach is the most effective route to achieving stable monetization. Technologies utilized: Bubble, OpenAI API, Low-code Development.

AI-Powered Ad Management for Nonprofits

Unknown

Digital Ninjas, an agency located in Sydney, assists nonprofits in utilizing Google Ad Grants effectively. Many of these organizations faced the challenge of lacking the necessary in-house skills to manage intricate ad campaigns, resulting in underused budgets. Our objective was to create a minimum viable product (MVP) that automates the process of campaign creation and optimization, thereby minimizing the need for expensive manual input. Our Solution: From Concept to Production-Ready Tool Jellyfish.tech developed a sophisticated platform that converts website content into effective Google Ads campaigns. Rather than simply encapsulating a large language model (LLM), we designed a dependable system emphasizing data precision and cost-effectiveness. Key Features & Engineering Highlights: We developed a high-performance crawler using Python (FastAPI) to accurately retrieve keywords and metadata. We introduced a "smart retry" mechanism to address any issues with page processing, ensuring that no data goes missing. The tool, powered by OpenAI, analyzes the collected data to produce customized keyword recommendations and ad copy. We improved the integration process to mitigate third-party latency, guaranteeing a smooth user experience. To achieve 100% data integrity, we combined AI-driven insights with explicit rule-based methods for structuring campaigns. The React-based interface allows users to toggle between AI-generated prompts and manual management, striking an ideal balance between automation and human oversight. The Outcome: The MVP effectively automated the transition from a basic URL to a structured, launch-ready Google Ads campaign. By shifting the complexity from the user to the underlying architecture, we empowered nonprofits to fully utilize their grants without the need for experienced marketing personnel. Technologies utilized included Python, FastAPI, React, OpenAI API, Web Crawling, and Vector Search.

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