Syntasa gives your teams AI agents that connect directly to your data, execute workflows autonomously, and surface decisions. Built on a composable, open architecture with no black box, & no vendor lock-in.
Most enterprises are drowning in data and starving for intelligence. The challenge isn't having AI tools — it's that none of them actually connect to your data, work in your environment, or do anything without a data scientist in the loop.
Sound familiar?
Your BI dashboards tell you what happened — but not why, or what to do next
Your analysts spend 80% of their time wrangling data and 20% actually analyzing it
Your data science team is a bottleneck: every insight request joins a queue
You've invested in cloud data warehouses, but AI agents can't access or act on them
Every new AI tool brings new vendor lock-in, new pipelines, and new technical debt
In secure environments, you're told AI simply "can't work here"Syntasa was built to fix all of this.
One platform. Your data. Agents that act.
Forget AI that answers questions. Syntasa's Agentic AI takes action. From building audiences to generating insights, drafting reports to migrating workloads — Syntasa agents work autonomously across your data, tools, and workflows.
Syntasa offers a comprehensive suite of AI agents that work in concert across the data-to-experience lifecycle:
Continuously research your enterprise environment to understand what data and code exists. Accelerate onboarding, reduce discovery time, and establish a unified layer of organizational intelligence.
Translate plain English business questions into complex SQL executed against raw warehouse data. Generate real-time, visualized insights in seconds — eliminating lag between data access and decision-making.
Generate hyper-personalized email copy, ad creatives, and dynamic website content at enterprise scale. Leverage live customer context without manual content production bottlenecks.
Autonomously manage audience segmentation, campaign logic, and customer journey orchestration. Right message, right customer, right moment — without ongoing human intervention.
Deployed across digital touchpoints to power conversational experiences for product discovery, service navigation, and guided engagement — driving conversion and self-service efficiency.
Together, they create what we call Architectural Synergy: a unified approach connecting both agent types to the Syntasa platform for seamless, cross-domain intelligence across your enterprise knowledge, tools, and data.
Syntasa ships production-ready agents out of the box, and gives you the framework to build your own. Here's what's available today:
From design to docs in one step. Pulls context from Jira tickets, PR diffs, and source code to auto-generate user guides, feature comparisons, and release notes. Code-verified accuracy via a Source-of-Truth Ladder. One-click publish to your Zendesk knowledge base.
A senior engineer available at all times. Semantic code search across your entire codebase, dependency analysis, and automated PR reviews that cross-reference code changes with Jira tickets to verify intent, catch edge cases, and flag regressions.
Self-service intelligence for every user. Every response grounded in your actual documentation — zero hallucination enforced by design. Deflects repetitive support questions, freeing your team for high-value work.
Your always-on cloud financial advisor. Daily cost and budget tracking at cost center and service level. Proactive anomaly detection, budget alerts, and expensive query identification across GCP, AWS, and Azure.
Build targeted marketing audiences instantly. Connects to your latest customer attributes and event data, creating precise segments — high-value purchasers, cart abandoners, device-specific cohorts — with a single natural-language request. No SQL. No queue.
Ask your data. Get answers. Instantly. Interprets complex business questions — churn patterns, regional revenue comparisons, top-performing products — and returns immediate, accurate analysis with full SQL traceability.
Syntasa's Composable Open Architecture delivers the power of best-of-breed tools without the complexity of stitching them together. It's decoupled, built on microservices, and engineered to run anywhere — cloud, hybrid, or fully air-gapped.
Full visibility into every data pipeline, model decision, and agent action. Every transformation is logged, auditable, and explainable. You see exactly what your AI is doing — and why.
Full auditability
Use the best AI frameworks today — LangGraph, LangChain, CrewAI, AutoGen — and switch as better ones emerge. Use Gemini, Claude, GPT, or your own fine-tuned Llama.
Framework agnostic
Agents and pipelines connect directly to your data where it lives — BigQuery, Delta Lake, AWS Athena, Azure Synapse. No data movement. No copies. No latency.
Zero data movement
Mix and match best-of-breed components without rebuilding your stack. Add capabilities incrementally across batch and real-time inputs, AI models, and downstream consumers.
Modular by design
Supports full air-gap network deployment on AWS, Azure, Google Cloud, and on-premise. No external dependencies, no model telemetry leakage, no SaaS endpoints required.
Air-gap certified
Job orchestration, data quality, data catalog, cost management, data lineage — all in one place. Powered by Apache Spark, Ray, Kafka, Airflow, MLflow, and more.
Production-ready stackBad data produces wrong answers. Wrong answers from AI agents produce bad decisions. Syntasa addresses this at the foundation with what we call Data Immunity — a proactive approach to data quality built into every pipeline.
"Agents trained on clean, governed, warehouse-native data don't hallucinate. They deliver."
No-code data hygiene workflows enforce folder compliance, version control, and duplicate detection at enterprise scale. Every record is traceable from ingestion to output, with full audit trails that are FOIA-ready by design.
Know exactly where your data came from, how it was transformed, and which agents consumed it. The built-in data catalog and lineage tools give you complete visibility — so your agents operate on trusted, governed data, not guesswork.
Syntasa accelerates agent development by combining open-source agentic frameworks with your existing data pipelines and AI capabilities.
Built using open-source agentic frameworks and powered by high-quality, automated data pipelines within the Syntasa platform. Your agents start from a position of strength.
Leverage existing Syntasa data connectors, AI model integrations, and enterprise knowledge stores to deploy sophisticated agents without starting from scratch.
Every agent deploys inside your secure network — whether that's a commercial VPC, a GovCloud environment, or a fully air-gapped classified network. No external API calls required.
Syntasa has been deployed in demanding, security-critical environments since 2014. Our clients include commercial enterprises, public sector agencies, and national security customers — all running Syntasa in production today.
Syntasa is running right now on classified networks, processing real-time data feeds, analyzing imagery, and running AI agents in fully insulated environments. This is not vaporware.
Commercial customers include Sky, Currys, Adidas, Lenovo, Bell Media, and NOW TV. Public sector clients include the Cabinet Office and major US health departments.
In classified, air-gapped, and sovereignty-constrained environments, Databricks introduces unnecessary cost, operational complexity, and deployment friction. Syntasa delivers everything Databricks offers (and significantly more) in a platform purpose-built for secure deployment.
Whether you're building your first AI agent, replacing a legacy platform, or deploying in a secure air-gapped environment — Syntasa is ready to deploy in your environment today.
Frequently Asked Questions
From deployment and security to agents and data architecture, everything you need to know about the Syntasa platform.
Syntasa is a Data + Agentic AI platform purpose-built for mission-critical environments. Unlike generic AI tools that require your data to leave your environment, Syntasa connects agents directly to your existing data warehouse — BigQuery, Delta Lake, AWS Athena, Azure Synapse — with zero data movement and no SaaS dependencies.
It ships production-ready agents out of the box, supports fully air-gapped and classified network deployments, and has been in production since 2014 across commercial enterprises, public sector agencies, and national security customers.
Syntasa ships six production-ready agents, each serving a distinct role:
Product Manager Auto-generates user guides and release notes from Jira, PRs, and source code.
Engineer Agent Semantic code search, dependency analysis, and automated PR reviews.
Help Agent Zero-hallucination self-service support grounded entirely in your documentation.
CloudOps Agent Daily cost tracking, anomaly detection, and budget alerts across GCP, AWS, and Azure.
Audiences Agent Builds precise marketing segments from natural-language requests — no SQL required.
Customer Insights Interprets complex business questions and returns immediate analysis with full SQL traceability.
Yes — and this is a core differentiator. Syntasa supports true air-gap deployment with zero external dependencies, no model telemetry leakage, and no SaaS endpoints required. It runs on AWS GovCloud, Azure Government, Google Cloud, and fully on-premise infrastructure.
Federal agencies and national security customers have chosen Syntasa precisely because it eliminates the connectivity constraints that make other AI platforms unsuitable for classified environments. The platform has been running on classified networks since 2014.
No. Syntasa is warehouse native — agents and pipelines connect directly to your data where it lives. There is zero data movement, no copies, and no added latency. Your data stays in BigQuery, Delta Lake, Athena, or Synapse; Syntasa operates on top of it.
This eliminates an entire class of security, compliance, and cost risks that come with platforms requiring data replication or external ingestion.
Syntasa is framework agnostic by design. You can use leading agentic frameworks — LangGraph, LangChain, CrewAI, AutoGen — and swap them as better options emerge without rebuilding your stack.
For underlying models, Syntasa supports Gemini, Claude, GPT, and self-hosted or fine-tuned Llama models, giving you full control over your AI supply chain — particularly important in regulated or air-gapped environments.
Syntasa addresses data quality at the foundation through Data Immunity — a proactive approach built into every pipeline. This includes no-code data hygiene workflows that enforce folder compliance, version control, and duplicate detection at enterprise scale.
Every record is traceable from ingestion to output with full audit trails that are FOIA-ready by design. A built-in data catalog and lineage layer gives complete visibility into where data came from, how it was transformed, and which agents consumed it — so agents operate on trusted, governed data, not guesswork.
Both. Syntasa ships six production-ready agents out of the box and provides the full framework to build and deploy your own agents in days — not months.
Custom agents are built using open-source agentic frameworks and powered by Syntasa's existing data connectors, AI model integrations, and enterprise knowledge stores. Every agent deploys inside your secure network — whether a commercial VPC, GovCloud environment, or fully air-gapped classified network — with no external API calls required.
Syntasa was purpose-built for the constraints that make Databricks impractical in C2E and air-gapped environments:
Cost — Purpose-built for cost-effective VPC and C2E deployment vs. Databricks' high licensing costs in restricted environments.
Accessibility — No-code drag-and-drop means analysts and non-engineers can operate it directly, unlike Databricks which requires deep Spark expertise.
Agentic AI — Native multi-agent capabilities built in; Databricks has none.
True air-gap — Zero external dependencies. Databricks requires SaaS endpoints, making it unsuitable for classified environments.
Federal agencies have chosen Syntasa specifically to eliminate Databricks costs and complexity in C2E deployments — with more capability, not less.
Yes. Syntasa operates with full transparency — there is no black box. Every data pipeline, model decision, and agent action is logged, auditable, and explainable. You see exactly what your AI is doing and why at every step.
This is enforced architecturally, not just as a reporting layer. The Customer Insights Agent, for example, returns full SQL traceability alongside every answer so you can verify exactly how a result was computed.
Syntasa is designed for rapid deployment. Custom agents can be built and deployed in days, not months, by leveraging Syntasa's existing data connectors, AI model integrations, and enterprise knowledge stores — rather than starting from scratch.
The composable, open architecture means you can add capabilities incrementally without rebuilding your existing stack. To discuss your specific environment and timeline, book a demo with the Syntasa team.
