Chat-native apps, safe MCP tools, and workflow automation—built for production and measurable outcomes
Chat-native apps for support, sales, engineering, and finance—wired to your data and permissions so teams can get answers and take actions in one place.
Multi-step workflows in a visual graph with typed inputs/outputs, branching, guardrails, and trace-based evals—great for repeatable processes and fast iteration.
MCP servers that safely expose your internal APIs, knowledge, and actions to ChatGPT—so apps can retrieve live context and do real work.
If you want distribution, we help you design and ship a directory-ready app and handle submission polish (where applicable).
Ship agents with least-privilege tools, approval flows for sensitive actions, and policy enforcement that stands up in production.
Make agent behavior measurable: traces, regression evals, cost/latency budgets, and a repeatable release process.
Production voice experiences with interruption handling, action confirmations, and safe tool execution.
An engineering assistant that can review, patch, and ship routine changes with strict controls (PRs, tests, and approvals).
Streamline repetitive work with reliable automations and integrations—using AI where it helps, and deterministic code where it must be correct.
Autonomous agents that plan, retrieve context, take actions, and escalate appropriately—without sacrificing control or auditability.
LLM capabilities tailored to your domain—from structured outputs and routing to fine-tuning when it’s the right tool.
Ground responses in your knowledge: the right retrieval strategy, indexing approach, and evaluation so answers stay accurate and attributable.
Five proven app patterns we can tailor to your stack and workflows
Summarizes tickets + threads, suggests responses, drafts Jira tasks, and builds known-issue articles.
Builds a deal brief from emails/docs, generates an RFP response outline, and produces a technical win-plan.
During an outage, turns logs + chat into a running timeline, proposes hypotheses, and generates a polished postmortem.
Converts a fuzzy idea into PRD → milestones → acceptance tests → engineering tickets.
Reviews clauses against internal policy, flags risks, drafts redlines, and generates negotiation notes.
Graph-first templates with typed contracts and eval-ready structure
Intake → classify → retrieve context → propose response → escalation rule → publish draft.
Gather requirements → pull policy/product docs → generate answers → compliance check → final assembly.
Signals → timeline node → hypothesis loop → mitigation suggestions → exec/customer update drafts.
Extract terms → risk scoring → fallback clause suggestions → approval routing.
PR summary → risk scan → test plan generation → release notes.
Retrieval → synthesis → argument map → decision memo → action checklist.
Visual workflow graphs are powerful—but they’re not always the simplest or most reliable way to ship. We’ll recommend the lightest approach that still meets your security, UX, and quality requirements.
If you start with a graph for speed and later need more control, we can migrate the workflow into code (e.g., an SDK-based agent) while keeping the same tool contracts, evals, and safety boundaries.
Designed for least privilege, auditability, and clear privacy boundaries
We seamlessly integrate our solutions with your preferred platforms
Let's discuss how our AI solutions can help you achieve your goals.
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