We design and ship role ready assistants, retrieval over your knowledge, and workflow automation that pass audit and deliver measurable value.
Build private, enterprise ready GPT and LLM solutions
What We Build
Private role assistants for product, operations, finance, risk, and customer teams
Retrieval augmented generation over policies, procedures, and knowledge bases
Workflow copilots that draft, review, and route work inside your existing tools
Evaluation harnesses to measure quality, cost, and latency for every release
Guardrails and controls including access, logging, and decision capture
High Value Use Cases
Decision support scoring, summaries, and explanations for faster, consistent outcomes
Knowledge answers accurate responses with citations from approved sources
Document automation intake, classification, drafting, and QA
Customer support guided responses, next best actions, and escalation notes
Engineering enablement test generation, log triage, and documentation acceleration
We start with lower risk, high value use cases, then expand as controls mature.
Engagement Model
Orientation, one to two weeks
Define the problem, value, data sources, and success metrics. Align on risk tier and approvals.
1
Build, thirty to ninety days
Stand up data connectors and retrieval, prompt and tool design, orchestration, and the evaluation harness. Release to a target group with audit evidence in place.
2
Scale, next ninety days
Harden and extend. Add observability and role-based access. Expand to additional groups and adjacent use cases. Publish playbooks and training.
3
Transfer, ongoing
Enable your teams to operate and enhance the solution. Establish review rhythms and light audits.
4
Deliverables
Working GPT or LLM backed solution integrated with your tools
Evaluation dashboard for quality, cost, and latency
Governance pack with risk tiering, approvals, and audit trail
Reference architecture, prompts, and templates
Enablement kit, quick references, and office hours
Quality and Safety
Test sets and thresholds by use case
Red team exercises and bias screens
Prompt, template, and model versioning
Access controls, least privilege, and logging
Decision capture and evidence retention
Technology and Platforms
We are vendor neutral and integrate with your stack. We work across major cloud providers, vector stores, orchestration frameworks, and observability tools. We design for portability, so you avoid locking in and keep options open as the market evolves.
Metrics We Target
Lead time to first value
Answer quality, coverage, and citation correctness
Time saved per user and task completion rates
Cost per interaction and latency
Adoption and sustained usage by role
Pricing and Formats
Lighthouse build: fixed scope, single use case, thirty to ninety days
Scale package: additional use cases or new groups, adds observability and change operations
Advisory add on executive checkpoints, architecture, and policy reviews
Commercial terms can be aligned under MSA, SOW, and NDA.
FAQs
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In your environment whenever possible. We design for privacy, residency, and retention requirements.
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Yes. We help evaluate tradeoffs among accuracy, cost, latency, and risk. We support proprietary and open models.
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We use retrieval with citation, strong evaluation, and guardrails. High risk actions require human approval.
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Yes. We connect to your systems of record and collaboration tools.