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LEAD INTELLIGENCE · TIER 3

Ralph

GTM Intelligence Agent

Ralph is a LangGraph-based agentic system built for a PE-focused investment banking firm. It monitors engagement health across an active contact pipeline, surfaces at-risk relationships, and drafts context-aware outreach — with human approval required before anything sends.

RALPH · AGENT OUTPUT
2:14 PM
"Show me Cold contacts with open deals"
Daniel Kowalski
Arcadia Partners · NDA Executed · 67d silent
COLD
Thomas Bancroft
Crestwood Private Capital · 82d silent
COLD
Michael Hartley
Bridgepoint Capital · 28d silent
AT RISK
⚠ APPROVAL REQUIRED — create_campaign
Draft re-engagement campaign for 3 contacts with at-risk open deals?

Built for Riverton Capital Advisory — a PE-focused investment banking firm managing high-stakes sponsor, founder, and lender relationships.

Riverton is a reference implementation. The architecture, approval patterns, and intelligence layer are production-grade and adaptable to any professional services firm managing a complex B2B relationship pipeline.

Relationship drift is invisible
until it's costly.

01 —
No systematic way to monitor engagement health across an active deal pipeline.
02 —
Contacts go quiet during open mandates — teams only notice during manual reviews or when a deal falls through.
03 —
Drafting compliant, brand-voice outreach at volume was manual, inconsistent, and creating execution risk.

Two surfaces.
One shared intelligence layer.

ACTIVE SURFACE
Ralph Chat Interface
Active work surface. Ask questions in plain language, run pipeline analysis, draft and approve campaigns. Ralph queries the database, reasons about contact profiles and deal stages, writes brand-compliant emails, and pauses for explicit approval before anything sends.
PASSIVE SURFACE
Morning Briefing Dashboard
Read-only intelligence layer for analysts. Pipeline health score, relationship velocity indicators, persona heat map, deal-risk flags, and recent campaign activity. No chat required — the intelligence is always surfaced.

Nothing sends without
explicit sign-off.

Most AI tools offer approve/reject. Ralph implements a three-way interrupt pattern that goes further.

APPROVE
Execute as planned. Campaign sends immediately.
EDIT
Modify the tool arguments, then execute. Change targeting, tone, or specific contacts before sending.
Reject with a note. Ralph reasons again from scratch without executing. Nothing sends until you're satisfied.
This pattern matters in professional services where one unauthorized send can damage a relationship that took years to build.

Production-grade
from the start.

Python 3.13 LangGraph 0.3 Claude Sonnet FastAPI SSE Streaming Next.js 15 TypeScript Tailwind CSS Supabase SQLAlchemy MCP HubSpot API Slack API LangSmith Vercel Render
01 —
LangGraph state machine for multi-turn conversation with persistent thread IDs.
02 —
Supabase PostgreSQL with nightly engagement scoring across contact and deal models.
03 —
MCP tool servers for Slack and HubSpot integration with graceful degradation.

What Ralph
delivers.

PIPELINE VISIBILITY
At-risk contacts with open deals surfaced in seconds, not discovered during manual pipeline reviews.
BRAND-COMPLIANT OUTREACH
Fully personalized, brand-compliant outreach drafted instantly — every draft enforces tone, messaging pillars, and approved CTAs.
FULL AUDIT TRAIL
Every action logged and auditable in Supabase — complete campaign history with approval records.
TIER 3 · VERTICAL AI PRODUCTS

Ralph represents Sidera's highest capability tier — full-stack AI products built for specific industries with domain knowledge, brand voice, and human-in-the-loop approval flows baked in. Not a chatbot bolted onto a dashboard. An intelligence layer built for how your team actually works.

See how the three tiers work

See it working in the
Riverton environment.

The live demo has full pipeline data loaded. Try: Show me Cold contacts with open deals or What's our pipeline health?