Studio Services

Data. Devices. Distinctive Quality.

Still life, Arc
Courtesy Frances Murray

We help clients with four areas that define today’s software landscape: The rise of data-intensive computation. The emergence of new devices and delivery paths. The rapid evolution of frameworks and platforms. And the rising importance of quality—in both form and function—as software becomes even more pervasive.

Each Bin consulting engagement is different, and begins with a discussion of your problems and goals. We are available for brief advisory engagements on architectural and strategic questions, as well as full design and development projects.

Please reach out if you think a conversation might help. We’d love to talk with you about the specific challenges of your domain.

Applications

Small or large, prominent or embedded: a successful application creates an experience for its customers. This has never been truer than on mobile, where applications can get lost in a sea of 2 million.

At Bin, we create distinctive experiences.

We’ve made foundational contributions to award-winning applications. We’re comfortable with the full palette of device and platform capabilities. We’ve enabled productivity, creativity and communication for millions of demanding and capable users. We work deeply with you to produce mobile, web and hybrid experiences with a distinct point-of-view and the right level of quality—delivered on time and within budget.

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Expertise

  • Scalable web applications
  • Mobile applications
  • Audio/multimedia
  • Rich connected experiences
  • Instrumentation and analytics
  • Globalization
  • Scale & performance optimization
  • Device power management
  • Hardening and crash reporting

Domains

  • Consumer finance and payment applications
  • Social user content applications
  • High-volume structured data exchange
  • Financial modeling and backtesting
  • MapReduce and other data-intensive computing patterns
  • Local and textual search
  • On-demand clustering for scientific workloads

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Data Engineering

A single transatlantic flight of a four-engine jet can generate 640 terabytes of engine and performance monitoring data. A single $1000-genome sequencing system may generate 30 to 50 terabytes of compressed output data per week. But we understand that it’s importance – not just size – that unlocks value in data.

Our team has a long record of putting our software depth to work alongside data scientists, engineers, taxonomists, quants, linguists, algorithm designers, and product design teams. We are experienced in every stage of the data engineering process.

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Analysis

  • Data modeling
  • Corpus quality analysis
  • Arranging for performance
  • Inference and probabilistic modeling
  • Relevance and precision measurement
  • Cost, capacity and redundancy planning

Implementation

  • Relational and NoSQL
  • Storage, cache and index optimization
  • Pervasive instrumentation
  • Content intake, freshness and validation
  • Process debugging and transparency
  • Redundancy and failover
  • Regulatory compliance and provenance
  • Cryptographic and key management practices
  • Prototype and production tooling

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Machine Learning

Applied machine learning can be an exercise in humility. A host of practical obstacles can limit progress toward a predictive or analytic goal. Off-the-shelf approaches rarely behave as expected in the face of real data and deployment conditions. Feature and prior refinement is crucial. So are input set and loss function revisions. And at every stage, measurement, data quality, and the strength of a team’s analytic and engineering practices play critical roles.

The Bin team brings experience, energy and self-criticism to collaborative work on machine learning challenges. We work together with our client teams to combine their domain knowledge with our experience in the application of proven ML approaches. Together we move closer to resilient, durable, maintainable systems.

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Expertise

  • Feature selection and validation
  • Algorithm selection and implementation
  • Inference and predictive systems
  • Training and test set development
  • Query disambiguation and classification
  • Static and dynamic ranking
  • Relevance and precision measurement
  • Human relevance techniques

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Cloud Adoption

Cloud computing services have reached an attractive combination of power and competitive pricing. But putting them to work requires thoughtful execution. By understanding this infrastructure and our Clients’ requirements, we design and implement systems for flexibility, durability, cost predictability, and scale.

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Architecture and design

  • Infrastructure (Amazon EC2, Azure, Google Cloud)
  • Platform (Amazon RDS, Google App Engine)
  • API (Google Analytics, Flurry, HockeyApp, etc.)
  • Public/private approaches

Implementation experience

  • High-availability transactional web services
  • Interactive and batch data processing
  • Service-to-service stack integration
  • Federated and proprietary identity adoption
  • Disaster recovery planning

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Geospatial Systems

Geospatial computing has changed the way we live, work, and inspect the world. We help clients with a range of GIS applications: from mapping and visualization, to API adoption or design in geocoding, routing, traffic, image acquisition and digital cartography.

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Design and Concept

  • Spatial UX prototyping
  • Service and API design
  • Platform selection and costing
  • Dataset research and analysis
  • System migration strategy

Development

  • Application development
  • Algorithm development
  • Service and API implementation
  • Instrumentation and monitoring

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Virtual Reality Systems

VR is poised for another strong step toward broader adoption in 2015. Systems like the Oculus Rift and Gear VR are accessible, affordable, and more than a little magical.

At Bin, we’re pioneering the application of VR to domains that reach beyond gaming & entertainment. We can help you map your work to the physical, emotional, and informational axes of VR. And no matter what your field – research, education, retail, or product development – we have the skills to help you extend your expertise, navigate the VR technology stack, and create a product that realizes your goals.

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Expertise

  • End-to-end conceptual design
  • Real-time spatial and geospatial rendering solutions
  • Data-driven visualization and simulation
  • 3D graphics pipeline optimization, including CPU/GPU tradeoffs
  • Common rendering APIs and languages (e.g. OpenGL, GLSL, etc.)
  • Design with comfort as a first-order concern
  • HCI and input device integration (e.g. Leap, Nimble VR)
  • Multi-platform architectures
  • Gaming engines (e.g. Unreal Engine, Unity, or custom engine work)
  • Sound fabric design & implementation

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