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Super Intelligence

Squadly SI.

Autonomous AI agents that reason through complexity, integrate with your systems, and execute — continuously, reliably, at scale.

Request early access Explore the architecture

Squadly SI

Live

Active Task

Analyze Q3 pipeline and generate risk report

Collect CRM data & support tickets

Cross-reference with market analysis

Score deal risks and rank pipeline

Generate executive risk report

Progress

Report Ready

3 at-risk deals identified. Recovery actions drafted. Sent to stakeholders.

Activity

Research scanning 847 data sources

Revenue pulling CRM pipeline data

Research found 23 relevant reports

LLM cross-referencing findings

Revenue flagged 3 at-risk deals

Ops generating recovery actions

Orchestrator compiling final report

Report delivered to stakeholders

sources

agents

elapsed

SOC 2 Type IIEnd-to-end encryption50+ integrations24/7 autonomousHuman-in-the-loop

Architecture

Inside the agent harness.

Every agent runs inside a managed harness — an isolated runtime with its own orchestration loop, tool connections, memory, and full observability.

Orchestration Loop

Task Input

Request or trigger

Orchestrator

Reason → Plan → Act

LLM

Reasoning engine

Tool Execution

APIs, code, browser

Result

Action or response

Memory Layer

Short-term working memory and long-term recall across sessions. Context persists even when compute is recycled.

Tool Gateway

Secure connections to external systems via MCP servers, REST APIs, and pre-built connectors. Auth handled automatically.

Session Runtime

Isolated microVM per session with its own filesystem and shell. Agents can write and execute code safely.

Guardrails

Input validation, output filtering, safety checks, and human-in-the-loop controls at every decision point.

Agent Trace

00:00.000INPUTTask received: "Analyze Q3 pipeline risks"

00:00.012PLANDecomposed into 3 sub-tasks

00:00.034LLMSelected tools: CRM query, doc search

00:00.089TOOLCRM: fetched 142 open opportunities

00:00.210TOOLDocs: indexed 23 relevant reports

00:00.340MEMLoaded prior Q2 analysis from long-term memory

00:00.412LOOPRe-entering orchestration with new context

00:00.567LLMSynthesizing findings, drafting risk report

00:00.891OUTReport ready — 3 risks, actions attached

Enterprise Integrations

< 5 min

Average Deployment

Uptime SLA

24/7

Autonomous Operation

Integrates with

SalesforceHubSpotSlackTeamsJiraGitHubSnowflakeBigQueryPagerDutyZendeskNotionAWS

Platform

Built for enterprise
complexity.

Multi-Agent Orchestration

The platform coordinates specialist agents that share context, delegate sub-tasks, and converge on unified outcomes — much like a well-run team.

Reasoning Engine

Each agent decomposes objectives into sub-tasks, plans execution paths, and adapts when conditions change — genuine problem-solving, not scripts.

Full Observability

Audit trail of every decision and action. Human-in-the-loop controls when you need them. Nothing runs in a black box.

50+ Integrations

CRMs, data warehouses, issue trackers, communication tools. Connect your existing stack through secure, pre-built connectors.

Enterprise Security

SOC 2 Type II. End-to-end encryption. Role-based access. Data residency controls. Your data never leaves your boundaries.

Continuous Learning

Agents improve from feedback and outcomes over time — refining their approach without retraining or manual tuning.

Integrations

Connect your existing stack.

CRM & Sales

SalesforceHubSpotPipedrive

Data & Analytics

SnowflakeBigQueryDatabricksRedshift

DevOps & Engineering

GitHubGitLabJiraPagerDutyLinear

Communication

SlackMicrosoft TeamsEmail (SMTP)

Support

ZendeskIntercomFreshdesk

Documents & Knowledge

NotionConfluenceGoogle DriveSharePoint

Cloud & Infrastructure

AWSGCPAzure

Agent Fleet

A specialist for
every function.

Pre-built agents for common business functions, each configurable to your processes, data, and approval workflows.

Sales

Revenue Agent

Pipeline analysis, lead scoring, deal risk assessment, forecast generation.

Intelligence

Research Agent

Market analysis, competitive monitoring, trend identification, report synthesis.

Development

Engineering Agent

Code review, test generation, incident triage, deployment automation.

Ops

Operations Agent

Workflow orchestration, bottleneck detection, resource allocation.

Finance

Finance Agent

P&L monitoring, expense categorization, cash flow forecasting, anomaly detection.

Customer

Support Agent

Ticket classification, response drafting, escalation routing.

Legal

Compliance Agent

Contract review, risk flagging, regulatory monitoring, policy enforcement.

Growth

Marketing Agent

Campaign analysis, content optimization, audience segmentation.

Real Outcomes

Agents delivering
measurable outcomes.

See how autonomous agents drive tangible business outcomes across enterprise teams.

Revenue Operations

Pipeline risk identified before quarterly review

Revenue Agent analyzed 142 open deals against historical close rates, flagged 3 at-risk opportunities worth $2.4M combined, and drafted recovery actions — all before the weekly pipeline call.

3 hrs → 12 min

Time saved

Engineering

Incident root cause found while on-call sleeps

At 2:47 AM, the Engineering Agent detected elevated error rates, correlated logs across 4 services, identified a misconfigured cache TTL deployed at 11 PM, and drafted a rollback PR. The on-call engineer woke up to a solved problem.

MTTR reduced 74%

Resolution improvement

Market Intelligence

Competitive landscape report generated weekly

Research Agent monitors 847 sources — SEC filings, patent databases, hiring posts, product changelogs — and synthesizes a weekly intelligence brief. What used to take an analyst 2 days now arrives every Monday at 8 AM.

2 days → automated

Fully automated

Process

From setup to
production in days,
not months.

Our engineering team works alongside yours to connect, configure, and deploy — with full support through launch and beyond.

Map your systems

We connect your CRM, data warehouse, ticketing, and communication tools through MCP servers and pre-built connectors. Auth, permissions, and data residency handled from day one.

Define agent objectives

Describe what each agent should accomplish in plain language. The platform decomposes goals into orchestration plans, tool selections, and guardrail boundaries — no prompt engineering required.

Launch with observability

Agents run inside isolated harnesses with full trace logging. Every LLM call, tool invocation, and decision point is auditable in the dashboard. Human-in-the-loop approvals where you need them.

Learn and expand

Agents improve from feedback loops and outcome data. Add new agents per function, extend to additional teams. Each agent costs compute, not headcount.

Questions

Frequently asked
questions.