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InferEdge
PLATFORM

One system for re-building investments teams around agentic AI.

InferEdge is the connective tissue between investment teams, portfolios and the market — a customizable platform and a reliable agent runtime, engineered together.

01 · AGENT PLATFORM

Where enterprise AI becomes operational.

An agent that works for a demo but fails in production isn't an agent — it's a liability. InferEdge treats agents as composed systems of skills, with the same rigor we'd apply to any piece of financial infrastructure.

  • Reusable capabilities shared across every workflow and agent
  • Every output is backed by verifiable source citations
  • Automated testing ensures changes are validated before deployment
  • Integrates with existing AI tools through open standards, including MCP
  • Intelligent routing and caching reduce infrastructure costs
See the skills library →
agent · orchestrationrun_id: 0xA4F2
Sources
Earnings · 10-K · transcripts14 feeds
News + social · filings · researchreal-time
Skills · MCP
extract_metrics
compare_consensus
portfolio_lookup
citation_check
Agent
Impact Agentidle · cost $0.008
Output
Portfolio impact brief · 3 holdings affected→ slack · email
02 · PORTFOLIO AND RISK MONITORING

Every event, synthesized and scored — before your analysts ask.

The moment a headline breaks, InferEdge has already read the full article, checked the filing, cross-referenced the consensus, and mapped the impact to your book. Your analysts get the "so what", not the "so many".

  • Continuous ingestion across 14+ sources: news, filings, transcripts, social, research
  • Semantic dedup — one story, not forty copies of the same headline
  • Portfolio-aware: events are mapped to your holdings, mandates, and watchlists
  • Impact scoring with directional bias, affected tickers, and precedent lookups
  • Delivered where your team already works — Slack, email, OMS, or a PDF brief
Talk to the team →
RELI.NS · 14:32:18IMPACT · HIGH

$5B green hydrogen capex announcement reshapes energy transition thesis

Reliance commits to 1GW electrolyzer capacity by 2028. Funding mix (40% debt) implies ~110bps margin dilution through FY26. Positive for ADANI RENEW, LINDE India.

  • 3 holdings affected in Asia Energy Alpha and Clean Infra Tier 1
  • Upgrade bias: INR IG utilities · hydrogen supply chain
  • Watch: FY26 ROCE guide in Aug earnings call
SKILLS LIBRARY

Shipped skills, built for the buy-side.

Out-of-the-box skills cover 80% of daily analyst tasks. The last 20% you author yourself — wrapping internal APIs, SQL, notebooks — with the same primitives.

Company Fundamentals
extract_financials
compare_consensus
peer_benchmark
Credit
spread_trends
rating_migration
covenant_check
Events and Impact
fetch_news_impact
social_media_engagement
research_synthesis
Portfolio
compute_attribution
analyze_contribution
portfolio_risk_monitor
Your own skills, same rails.
Wrap an internal API, a SQL query, a Python notebook, or a legacy tool as a InferEdge skill. It becomes instantly callable by any agent, any chat surface, or any MCP client — with automatic caching, eval tracking, and cost accounting.
// agent invokes skill via MCP
skill.extract_metrics(
  source: "reliance_q4_transcript.pdf",
  fields: ["ebitda", "capex_guide", "net_debt"],
  cache: true
) // → 128 tokens, cached 94%
REliability

The boring parts we built first.

A fund can't deploy a tool that hallucinates a filing or drops a citation. These are the guardrails that make InferEdge safe in a regulated workflow.

Eval-driven
Every skill ships with an eval set. Regressions block deployment — your agents only get smarter over time.
Deterministic citations
Every claim in every output links to a verifiable source. No phantom sources, no paraphrased fiction.
Human checkpoints
Agents that touch a book, a message, or a system of record require explicit confirmation. Configurable per workflow.
Token-efficient
Skill-level caching, prompt pruning, and adaptive model routing cut inference cost 60–90% vs. naïve RAG.
Observability
Every agent run, every tool call, every token. Full traces, replayable, and exportable to your SIEM.
Versioned everything
Skills, prompts, models, evals. Pin a version, roll forward, roll back. Audit logs for every change.
integrations

Connects to everything a fund already uses.

InferEdge is designed to slot in — not replace. We meet your stack where it is.

Data sources
  • News
  • SEC Filings
  • Government Releases
  • Market Data
Models
  • OpenAI
  • Claude
  • Gemini
  • Bring Your Own
Delivery
  • Email
  • MS Teams
  • Slack
  • Telegram
See the platform, scoped to your workflow.

We'll run InferEdge live on one of your existing workflows and show you the full loop: ingest, synthesize, reason, deliver.

See SecurityRequest demo