Professional Services

Engineering practices for the most demanding technical problems.

Three deeply specialized practices — staffed with senior engineers, scientists, and product leaders — that embed inside your organization and ship real systems.

PRACTICE_01

Software Engineering

Mission-critical platforms, distributed systems, and product engineering built to operate at scale. We embed senior engineers alongside your team to ship production systems that hold up to real-world load and complexity.

Capabilities
  • Platform & distributed systems engineering
  • Cloud-native and on-premises architectures
  • Real-time data and event-driven systems
  • Developer platforms and internal tooling
  • Performance, reliability, and observability
Technology Stack
TypeScriptGoRustPythonKubernetesKafkaPostgreSQLgRPC
Typical Engagements
  • Embedded engineering pods (3–9 senior engineers)
  • Greenfield platform builds (6–18 months)
  • Legacy modernization & systems re-architecture
Representative Use Cases
  • Operational platforms for industrial sites
  • Real-time pipelines for telemetry-heavy systems
  • Internal developer platforms for AI teams
PRACTICE_02

AI & Data

End-to-end AI capability — from data foundations to production-grade generative, predictive, and agentic systems. We help organizations move past pilots and operate AI as core infrastructure.

Capabilities
  • Data platforms and feature engineering
  • Predictive modeling & forecasting
  • Generative AI and LLM-based systems
  • Agentic AI architectures
  • MLOps, evaluation, and model lifecycle
Technology Stack
PyTorchJAXLangGraphRaySnowflakeDatabricksVector DBsTriton
Typical Engagements
  • AI capability accelerators (8–16 weeks)
  • Production deployments of LLM and agent systems
  • Custom model development on proprietary data
Representative Use Cases
  • Predictive maintenance for industrial assets
  • Agentic copilots for technical operators
  • Generative design and scenario simulation
PRACTICE_03

Bioinformatics

Computational biology and biomedical engineering for organizations operating at the frontier of life sciences. We build pipelines, models, and tools that turn biological data into discovery and care.

Capabilities
  • Genomic and transcriptomic pipelines
  • Multi-omics integration & analysis
  • Variant calling, annotation, and clinical reporting
  • Computational drug discovery support
  • Secure clinical and research data infrastructure
Technology Stack
NextflowSnakemakePythonRBWAGATKSeuratAlphaFold
Typical Engagements
  • Pipeline build & validation projects
  • Custom bioinformatics platforms
  • Embedded computational biologists
Representative Use Cases
  • Clinical genomics workflows
  • Research platforms for biotech R&D
  • AI-assisted molecular and protein modeling

Bring our practices into your team.

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