Eric Dunne

Via Scientific’s Foundry platform radically simplifies enterprise-scale multiomics and analytics, freeing scientists, computational biologists, and bioinformaticians to focus on their science rather than writing code.

BUSINESS NEED
Via Scientific wanted to inject some humanity and emotion into the messaging around their highly technical and scientific platform.

CHALLENGE
The new website needed to appeal to both the scientific community and decision-makers, who are often different personas.

OUTCOME
We applied the updated messaging, more approachable, refreshed brand, and new illustration style to a brand-new website.

Mantium Secure Chat was Mantium’s answer to the few short-lived gaps in ChatGPT. This included topical channels using your own data, built-in row-level permissions, chat history, and supporting content to uncover where an answer came from.

CHALLENGE
As with any bleeding-edge technology, the largest challenge was solving problems that had never been solved. How do you enable row-level permissions so the chat agent only shares with the right people? How do you guide the user through connecting their data and preparing them for AI? How do you chain data transformations together so users can see what’s changing at each stage?

OUTCOME
Sadly, when we had the product ready for a closed beta, OpenAI announced a new ChatGPT feature that was largely what we had built. This was the day that Mantium died.

Mantium, an AI security and data pipeline startup, needed a visual update from their previous dark theme to a friendlier, more inviting light theme.

BUSINESS NEED
Mantium moved at the speed of AI to stay on the bleeding-edge of technology and keep pace with the engineering team.

CHALLENGE
The biggest challenge was keeping pace with engineering and the shiny object syndrome that plagues new technology.

OUTCOME
The design system enabled the design and development teams to work simultaneously and allowed for quick turnaround on concepts and easy implementation for the engineering team. By using the design system and developer components, engineering could build using pre-established design patterns, saving time, while the design team created a more finessed product.

Mantium is the fastest way to achieve step one in the AI pipeline. It offers automated, synced data preparation that cleans and prepares users’ data for use. It also simplifies the AI pipeline through a simple no-code interface that allows anyone from the AI curious to the enterprise to prep their data for LLM-driven chatbots like ChatGPT.

BUSINESS NEED
Mantium needed a website to represent its product and be updated quickly and efficiently to accommodate the many pivots. This website covers the platform’s features, a blog to communicate their thought leadership, a resource center, and a culture page for recruitment.

OUTCOME
Through its many iterations, the Mantium website was built on reusable template blocks, allowing drag-and-drop page building and predefined parameters to keep it flexible, consistent, and mobile-friendly.

BUSINESS NEED
DataRobot, while a global brand, lacked brand guidelines for the design team to reference. As a result, every piece of collateral had its own feel, depending on the assigned designer.

OUTCOME
After carefully reviewing all current collateral, web, and video assets, I established cohesive and flexible brand guidelines so designers, vendors, and internal teams could all create unified assets for DataRobot.

DataRobot was entering a time of hypergrowth and all the pains that come with it, but its visual identity was scattered and inconsistent. From a design perspective, its brand was fractured, with only loose guidelines that each designer followed as best as they understood.

BUSINESS NEED
DataRobot needed a single brand experience across its multitude of channels. My task was to create brand guidelines and standardize the various design elements and patterns.

CHALLENGE
The biggest challenge was how much DataRobot employees loved their brand and doing whatever they wanted with it—the brand guidelines needed to be clear yet flexible to keep this enthusiasm while minimizing the chaos.

OUTCOME
Over six months, I reviewed and evaluated all brand touchpoints. The brand refresh involved consolidating and unifying the best of what was already in use while optimizing the experience and establishing and implementing clear guidelines across the company. The final deliverables included brand guidelines, templates, and asset libraries.

Nexosis—acquired by DataRobot—was a developer-first company that offered a machine learning API to empower developers to include machine learning in their applications.

BUSINESS NEED
Nexosis needed a cohesive brand that tied its capabilities and offerings to its target user base: developers.

CHALLENGE
The largest problem with the early AI space was that it could do so much that it was difficult for the user to figure out what exactly to do with it.

OUTCOME
By showing code simplicity, use cases, dashboards, and a UI interface, developers started brainstorming what they could do with a lower load and time to proof-of-concept. The rest of Nexosis’ branding and marketing was positioned to help get developers from their first concept to the start of the iteration cycle.