We design, develop, and deploy custom AI solutions that combine machine learning, retrieval, automation, and human judgment—built to your needs, standards, and stack.
Build smart, auditable AI systems that solve real business problems
Who It's For
For AI-Ready Teams:
You know the use case and need to build safely, with evaluation and auditability in place.
For Business Leaders:
You want real outcomes, not just demos—solutions that reduce risk and deliver measurable value.
For IT & Operations:
You need AI to run in your stack, with observability, access control, and maintainability built in.
What We Build
Forecasting and classification models to drive next best actions
Retrieval pipelines that surface the right answer from approved knowledge
Workflow agents that draft, route, and track work across systems
Scoring and decision support tools with explanations and controls
Embedded AI experiences in your tools, teams, and operations
We tailor each solution to your objectives, risks, and infrastructure—starting with lower risk, high value use cases.
Engagement Model
Orientation, 1 to 2 weeks
Clarify the business problem, use case candidates, data sources, and success metrics. Align on governance tier and constraints.
1
Build (30–90 days):
Design and deliver the working solution—data pipelines, models, retrieval, logic, and evaluation framework. Release with audit trail in place.
2
Scale, (90+ days)
Harden and expand. Add observability, access controls, adjacent use cases, and training.
3
Transfer (ongoing):
Enable your teams to operate and extend the solution. Provide playbooks, checkpoints, and governance artifacts.
4
Build With Confidence
Audit-grade quality and governance from day one
Designed for portability and vendor neutrality
Role-specific adoption and training plans
Rapid prototyping without sacrificing safety
Expert guidance in regulated environments
High Value Use Cases
Finance & Risk: Credit risk scoring, fraud detection, audit prioritization
Healthcare: Readmission prediction, triage support, care pathway recommendation
Operations: Demand forecasting, quality classification, ticket routine
HR & Talent: Resume screening, role matching, interview summarization
Product: Backlog triage, customer feedback clustering, roadmap scoring
Our goal is measurable business value—faster decisions, lower error rates, and smarter workflows.
Deliverables
Fully functional AI solution integrated with your environment
Evaluation dashboard for quality, accuracy, and latency
Governance pack including approvals, versioning, and evidence
Documentation and reference architecture
Enablement kit and office hours support
Quality and Risk Controls
Test sets and thresholds defined by use case
Model versioning and rollback procedures
Red team testing and fairness screens
Access, logging, and evidence capture
Human in the loop for high-risk decisions
Technology and Platforms
We work across clouds, data platforms, ML tools, vector stores, and orchestration layers—tailored to your existing stack. Our solutions are portable, modular, and auditable by design.
Metrics We Target
Lead time to first value
Model accuracy, lift, and stability
Time saved per decision or task
Cost per interaction and latency
Adoption and usage by role
Pricing and Formats
Lighthouse build: fixed scope, single use case, 30–90 days (about 3 months)
Scale package: additional use cases or groups, adds observability
Advisory add-on: executive checkpoints, design, and policy review
Commercial terms aligned under MSA, SOW, and NDA.
FAQs
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Wherever you prefer—on-prem, private cloud, or vendor-hosted. We design for privacy, control, and data residency.
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Yes. We help evaluate tradeoffs across open source and proprietary options—aligned to your priorities.
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We build in test harnesses, traceability, human review, and evaluation at each step.
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Yes. We work inside your existing systems of record, productivity tools, and APIs.