Introducing CData Connect AI Gateway.
One gateway between your AI and everything it touches. @ravivlevi and Amit Sharma show what we're announcing today.
Every question your teams and agents ask now runs through a layer that knows your systems, your permissions, and how your business works. The answers are accurate, the actions are reliable, and the token cost drops to a fraction of what it was.
Any model. Any platform. One context layer that goes with you.
Watch Raviv and Amit walk through it 👇
You’ve spent years teaching people how your company works. Your AI needs that knowledge too.
Introducing Connect AI Gateway.
It routes, governs, and learns from AI requests, building a system of record for how your company thinks.
Early access is live: https://t.co/3pFkadf0K4
The CData team spent AGNTCon + MCPCon talking with attendees about agents, MCP, and governed access to enterprise data.
If you missed booth P5, catch @suprgeek Amit Naik’s session on context at the gateway.
2:55pm PT, Room 210A
@AgenticAIFdn#AGNTCon#MCPCon
Every row in this chart is a model. With business context in CData Connect AI, 25 of 27 models cut their median tool calls, each by more than half.
The 2 that didn't move, Qwen 3.5 9B and Mistral Large 3, also struggled to succeed with context. Context raises the floor, but it can't replace model capability.
Details: https://t.co/WaYadxODlo
We (@cdatasoftware) gave AI agents business context (via Connect AI) covering CRM, warehouse, and ITSM data. Across 27 models, median tool calls per run fell from 40 to 8, and total spend fell from $350 to $93. The model mattered far less than the context it could read.
Full benchmark and method: https://t.co/KYdybVln4l
One more day at @AgenticAIFdn AGNTCon+MCPCon with @cdatasoftware where Doomguy is "processing" live data via Connect AI Gateway.
Want the shirt? Come by @suprgeek's session in Room 210A @ 2:55PM!
Don't miss out on today's session with Amit Naik @suprgeek 👉 Stop Making Agents Guess: Engineering Context at the Gateway
Today at @AgenticAIFdn#AGNTCON#MCPCON, Room 210A
Connect with the team at booth P5 before the show wraps.
Amit Naik @suprgeek, CData’s VP of AI Architecture, previews his session on why gateways need to supply meaning on top of routing, access, and permissions.
Oct 23, 2:55pm PT, Room 210A
@AgenticAIFdn#AGNTCon#MCPCon
https://t.co/3oK6VCNPBJ
Agents, applications, and people all need access to company systems.
Foundations 2026 covers keeping control of access, actions, and cost, plus research with benchmark harnesses and raw results anyone can run.
Nov. 5, free and virtual: https://t.co/ytclCeK4nq
An MCP server running inside Doom, with MCP data showing up in the game in real time.
Stop by booth P5 at @AgenticAIFdn#AGNTCon#MCPCon 👋 meet @JoeKarlsson1 and the rest of the CData team.
Learn more and see how we connect agents to enterprise data: https://t.co/bBKenaXcQQ
Rerun the benchmark yourself. At Foundations on November 5, Jerod Johnson @jeRodimusPrime and Amit Naik @suprgeek show where CData Labs’ harnesses, benchmark runners, and raw results live, and how gateway design changes what AI can do.
Registration is open: https://t.co/yBzbuXAP9P
Agents, applications, and people all need access to company systems.
Foundations 2026 covers keeping control of access, actions, and cost, plus research with benchmark harnesses and raw results anyone can run.
Nov. 5, free and virtual: https://t.co/yDqXGdnuZb
Right model. Right price. No budget surprises sneaking in through the side door.
Admins set routing rules, budgets, and rate limits once in the LLM Gateway. Every user, agent, and team gets the same guardrails.
And with business context built into the gateway, lower-cost models can still deliver accurate answers. Your budget can breathe a little easier.
See how with Connect AI Gateway: https://t.co/VIaLRWsBug
Every CData Labs benchmark ships with a public harness so you can rerun it on your own data. Hear what the lab tests next at Foundations 2026 on Nov. 5: https://t.co/b9hKHQ4FHn
A wrong answer from an AI support agent damages customer trust. So @Edsal_Mfg's agent, Ava, reads curated, read-only views of live SQL Server data through CData Connect AI’s MCP endpoint.
800+ calls in her first week live: https://t.co/OqYAl5dWWq
Legacy data can reach @Snowflake or @Databricks without migrating the source systems.
CData Sync uses CDC to read each source’s transaction log and deliver changes in near real-time, with essentially no added load on @Oracle, DB2, or AS/400.
Details: https://t.co/16BwhwSdp0
Want @Meta Muse to help with your work, like checking your @Salesforce pipeline or open @ServiceNow tickets?
Here's a short walkthrough with CData’s @JoeKarlsson1 of connecting all your work apps through one MCP server.
Full steps: https://t.co/GQIQAYaowC
CData Labs tests AI models on live enterprise data and publishes every harness so you can check the work.
At Foundations 2026 on Nov. 5, Jerod Johnson @jeRodimusPrime and Amit Naik @suprgeek cover where the lab came from and what it tests next: https://t.co/VONnfWgl3Q
AI token costs climbing?
In a CData benchmark, Connect AI reduced tool calls from 22 → 1 and query cost from ~$0.60 → under $0.03.
See how our Token Savings Calculator estimates your potential savings. 🎥 https://t.co/yVyhlAPqxf
#AgenticAI#AIOptimization#CData
Henderson Brothers set data governance before anyone built an agent.
Then 3 agents reached production, each stood up in roughly half a day, with IT in control of what each one can see and do.
Details: https://t.co/82b9v3tX7Q
Foundations 2026 is focused on a single question: how does AI reach the systems that run the business while you keep control?
Agents, applications, and people all need access to company systems. You can keep control of what they reach, what they do, and what it costs.
CData’s CEO Amit Sharma and product leaders walk through what we’ve been building. @Anaqua CIO Erik Bailey walks through his rollout. The research team opens its test results so anyone can check them.
Join us Nov. 5 for this free, virtual event: https://t.co/R6euVEgg70
15 of 19 AI models had a cheaper rival that was at least as accurate thanks to context housed in the governed data layer.
Connect AI gave every model the same business context before the prompt arrived, so you get more out of lower-cost models.
Full benchmark: https://t.co/gGY0ivuKyL