Six offerings. One operating standard.

Problem

Manual workflows that drain expert hours but don't fit traditional automation.

Our approach

Goal-driven agents with tool use, memory, and guardrails — wired into your existing systems.

Deliverables

• Agent architecture & tool design
• Memory & state management
• Eval suite & observability
• Human-in-the-loop handoff

Problem

Critical knowledge locked in PDFs, wikis, databases, and tickets your team can't search.

Our approach

Retrieval pipelines that reason over your sources with citations, freshness, and access controls.

Deliverables

• Ingestion & chunking pipeline
• Hybrid retrieval + re-ranking
• Citation & grounding layer
• Continuous eval against gold sets

Problem

Inbound call volume that grows faster than headcount.

Our approach

Low-latency voice agents on telephony or web that resolve, qualify, and escalate intelligently.

Deliverables

• Telephony integration (Twilio, SIP)
• Real-time turn-taking & barge-in
• Multilingual TTS/STT pipelines
• Live dashboards & QA workflow

Problem

AI features stuck as prototypes because the integration work is hard.

Our approach

Production LLM apps wired into your CRM, ERP, and data warehouse with full observability.

Deliverables

• Backend & API design
• Auth, RBAC, audit logging
• Provider abstraction & failover
• CI, evals, and rollout strategy

Problem

Leadership pressure to 'do something with AI' without a clear path.

Our approach

Honest, evidence-based roadmaps. Build vs buy, model choice, ROI, and team capability planning.

Deliverables

• Opportunity & risk mapping
• Build-vs-buy analysis
• 12-month roadmap
• Capability & hiring plan

Problem

Shipping AI that's safe, accurate, and defensible in regulated industries.

Our approach

Eval harnesses, red-teaming, and governance frameworks so AI passes audit and earns trust.

Deliverables

• Eval suite design
• Red-team & jailbreak testing
• Bias & fairness assessment
• AI governance documentation