Product · Agentic AI
AI that does the work, not just the talking.
One conversation. A Super Agent learns your goals and business rules, then orchestrates specialist agents to plan, decide and act, inside your cloud or air-gapped network, with every step visible.
How it works
Set the mission once. Agents work like a briefed colleague.
A business context sits above every conversation and shapes each step: who the customer is, the goal, the outcome and your rules. No prompt engineering.
- CustomerHigh-value shoppers
- GoalWin them back this month
- OutcomeRepeat orders
- RulesDiscounts ≤ 15% · brand tone
Agent
- Knowledgemaps your data and code
- Analyticsquestion → SQL → answer
- Decisioningsegments, journeys
- Creativecopy and creative at scale
- Customer-facingdiscovery and service
- Goal
Win back lapsed high-value customers this month.
- Super Agent · planFind them, choose the offer, write the message.
- Analytics agent18,420 lapsed high-value customers
- Decisioning agent3 segments · email and paid social
- Creative agent6 email variants drafted
- OutcomeWin-back plan ready for your review
Every step, query and reason is on the record.
Set the mission once. After that, agents work like a colleague already briefed on it.
- Conversational
- Business context
- Zero copy
- Data for everyone
- Data governance
- Model agnostic
- 01Knowledge & onboardingMaps what data and code you actually have.
- 02AnalyticsPlain-English question to a visual answer in seconds.
- 03CreativePersonalized email, ad and web content at scale.
- 04DecisioningSegments, campaign logic and journeys.
- 05Customer-facingDiscovery, service and guided engagement.
Ready-to-deploy agents.
Production-ready agents for analytics, marketing, engineering and operations, from day one.
- Customer Insights
Ask your data and get answers with the full query behind them.
Which products do lapsed customers still browse?
- Customer Audience
Describe an audience in plain English. Get a segment checked on live data, ready to activate.
Weekend shoppers who opened two emails but didn't buy.
- Email Personalization
Personal content for every micro-segment.
Draft three variants for new parents.
- Conversational Commerce
Helps shoppers discover and buy, in conversation.
I need a laptop for video editing under 1,500.
- Product Manager
Release notes and user guides from tickets and code changes.
Write release notes for this sprint.
- Engineer
Code search, dependency analysis and pull-request reviews.
What breaks if I rename this column?
- Help
Answers grounded only in your own documentation.
How do I schedule a notebook?
- CloudOps
Daily cost and budget tracking with anomaly alerts across clouds.
Why did compute spend jump on Tuesday?
Your model. Your framework.
Use a hosted model or one you run yourself, with the open agent frameworks your team already knows. Build your own agents in days on Syntasa connectors, models and knowledge stores.
Start where you are.
Pick the level of control you need, and move up when you are ready.
- Pre-built modelsFast predictions, tuned to your data.Fastest
- AI agentsNo-code automation.Balanced
- DIY AI/ML studioFull control. Bring your own model.Most control
Build your own
Your agents, in days, on your connectors and models.
Use Syntasa connectors, models and knowledge stores with the open frameworks your team knows. Deploy inside a VPC, GovCloud or an air-gapped network with no external API calls.
- Gemini, Claude, GPT or self-hosted open-weight models such as Llama
- LangGraph, LangChain, CrewAI and AutoGen
- Same roles, service accounts and audit trail as everything else
Available now
Customer Insights Agent, built with Gemini
Ask customer-data questions in plain language and get answers you can trust, with the query behind them. On Google Cloud Marketplace and Gemini Enterprise.
Put an agent to work on your data.
Bring a goal and a dataset. We will brief a Super Agent with your context and walk through each step it takes, and why.