AI that performs in production
Selected engagements across our three service pillars. Each one represents AI strategy, infrastructure, or a digital product built for organizations that needed senior practitioners delivering at the pace their business required.
A ground-up AWS rebuild delivering properly segmented environments, role-based access controls, automated deployment pipelines, and full audit logging for a healthcare platform that could previously not be safely updated, tested, or audited.
A three-phase stabilization, subscription build, and cross-platform rebuild that moved a fragile inherited codebase to a stable, tested, and market-ready product with iOS and Android support delivered within a one-month subscription MVP window.
A predictive people analytics platform built from the ground up with multi-source data aggregation, industry-specific modeling, and prescriptive intelligence, acquired by a major HR technology company in 2021 as validation of its technical and commercial quality.
A cloud-based assessment delivery platform built from scratch in seven months, with multilingual support across five languages and an industry-first text notification feature, deployed on schedule without exhausting a startup budget.
An integrated AI recruitment platform spanning workforce intelligence, predictive analytics, sourcing, screening, and candidate engagement, translating a data-driven hiring vision into a functioning product where each layer informs the next.
A development team established in India in weeks and a version 2.0 application built and distributed through the Google and iOS app stores, moving a regionally contained community platform to national distribution without a multi-year infrastructure build.
A digital health company set out to build a virtual care platform that served both patients and providers through a single intelligent system. The scope was significant: patient-facing workflows including symptom assessment and intake had to operate alongside provider-facing tools for research, diagnosis support, and medical coding, all powered by AI and built to function reliably in a regulated healthcare environment. Every output the platform produced needed to meet a standard that clinicians could trust and act on, which meant accuracy and compliance had to be designed in from the start rather than validated after the fact.
A connected three-layer system covering screening, API integration, and state-level submission automation that reduced manual intervention by 40 percent and transformed a fragmented, volume-constrained workflow into a scalable processing platform.
A dedicated, always-available development team that replaced a revolving door of project-based contractors with continuous platform knowledge, around-the-clock coverage, and a Christmas peak recovery completed in under 24 hours.
A precisely matched developer integrated directly into the founding team, delivering meaningful platform progress within the first two months and replacing a vendor relationship that had been slowing the business down with one that accelerated its path to market.
A flexible, ongoing technical and marketing capability that grew with the business, supporting multiple platform launches, a rapid virtual pivot during COVID-19, and international expansion without requiring the client to build or maintain internal technical headcount.
A ground-up vendor management system built with domain-specific developers at half the cost of onshore development, delivering more progress in twelve months than two years of prior work and giving the client full ownership of a platform the market had not offered before.
A hiring technology company set out to solve two of the most persistent and costly problems in talent acquisition. First, the time it takes to move candidates through a traditional interview process consistently delays filling critical roles and creates a competitive disadvantage for organizations competing for the same talent. Second, the quality of hiring decisions suffers when evaluators are overwhelmed by volume, inconsistent in their assessment approach, or limited to surface-level signals like resumes and brief conversations. The client needed a platform that could conduct structured, multi-dimensional candidate assessments at a scale no human interview team could match, without sacrificing the depth of evaluation that good hiring decisions require.
An end-to-end operational partnership covering product development, quality assurance, multilingual customer support, and global sales engineering, enabling a talent management platform to scale across markets without building those functions internally.
A fully operational multivendor HR marketplace built from the ground up during a compressed timeline, with integrated e-commerce, CRM automation, and a front-end the client's team could manage independently from day one.
A music intelligence and transition system that produces curated workout playlists at scale, replacing the human DJ bottleneck while preserving the curation standard the platform was known for.
An integrated development model that gave a talent acquisition startup access to the analytics, development, and design expertise its platform required, closing a skills gap that domestic hiring could not solve at a cost the business could sustain.
A development and testing model embedded directly into the client's workflow, replacing an unreliable contractor rotation with consistent, security-first delivery and the operating discipline an enterprise-grade product demands.
Ready to build a data foundation
your AI can actually run on?
Our senior data architects work with growing organizations to design and build the infrastructure that makes AI programs succeed in production rather than stall at the pilot stage.
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