Dynamiq

Operating platform for Generative AI applications

[Dynamiq @DynamiqAGI]

🚀 We’re thrilled to announce that Dynamiq, our #Python orchestration package for agentic AI and #LLM applications, is now available as #OpenSource !

Dynamiq is here to simplify the development of AI-powered solutions. Check us out on @github!

👉 https://t.co/Zx8DQsksn7

[Dynamiq @DynamiqAGI]

We just published a new article with @IBM on how we built a cost-aware legal research workflow using @IBMwatsonx, and the results speak for themselves:

Contract review: 90 min ➡ 45 min
Inquiry response: 2 days ➡ 1 hour
Clause identification: 20 min ➡ 2 min

The core idea: route first, reason deeply only when needed.

A Granite 4 Small classifier triages every query. Simple = answered cheaply. Complex = escalated to a full research agent with RAG + external legal sources.

Expensive AI only where it actually matters.

Full breakdown here: https://t.co/ZLeqbDohu5

#AI #LegalTech #IBMwatsonx

[Dynamiq @DynamiqAGI]

Watch the #Superagent respond to an AWS cost blowout. In real time.

It pulls the spend data, flags wasteful resources, cross-checks HubSpot, generates a board-ready report, files the tickets in Linear, and posts the alert to Slack.

Everything your team needs to act, without a single manual step.

Try it for free: https://t.co/6rWmVhvogU

[Dynamiq @DynamiqAGI]

You're paying for SaaS tools no one uses.

The Superagent audited @QuickBooks + @gmail, flagged every wasted subscription, and drafted the cancellation emails.

Connect your stack and check you SaaS spend for free here: https://t.co/Bo1WAEbCHn

[Dynamiq @DynamiqAGI]

Watch the #Superagent build a full social media campaign from a trending article. Live.

One prompt. Every asset. Every platform. Done.

Try it for free: https://t.co/I3lPILllLO

[Dynamiq @DynamiqAGI]

Give it a task. Dynamiq's new #Superagent figures out the steps, picks the tools, and hands you back the finished output. Live now at https://t.co/NKcprkXsJf. A huge thank you our engineers who shipped this faster than anyone thought possible 💙

[Dynamiq @DynamiqAGI]

🎙️ New in Dynamiq: Voice Agents.
Ship real phone experiences that run on your existing guardrails and observability: SaaS, VPC, or on-prem.

Use cases: scheduling & reminders, payment status/collections, order updates, IT helpdesk, internal hotlines.

Pick LLM + TTS/STT, connect tools, click Start Call.

[Dynamiq @DynamiqAGI]

🗞️ We just released one of two case studies with @IBM. The piece shows how legal teams under pressure, from rising contract volumes and complex regulations, can move from reactive to proactive with Dynamiq’s legal agent.

Readers will see real outcomes:
➛ 50% faster contract review
➛ 98% faster answers to business queries
➛ 90% faster clause identification

You'll also find out how the solution uses IBM @IBMwatsonx.data, IBM Granite, and watsonx Orchestrate to plug insights into business systems.

🔎 Read the case study: https://t.co/hnmjJIwJ9u

[Dynamiq @DynamiqAGI]

@IBM's Granite 4 model is now available on @DynamiqAGI! 🔥 We’ve added early support for IBM’s new Granite 4 models. The hybrid Mamba–Transformer design means lower memory use and faster inference, making Granite 4 a great fit for cost-efficient agentic workflows, RAG, and tool use across SaaS, private VPC, and on-prem deployments.

👉 Try it out: https://t.co/LGgzKbbmgK

[Dynamiq @DynamiqAGI]

Now live in @IBM Agent Catalog: @DynamiqAGI agents. Among the first partners in IBM Agent Connect, and first with more than one agent.

⛑️ Medical Research: structured clinical reports from trusted sources
https://t.co/kM0OKN2tQE
👩‍⚖️ Legal Research: intake -> search -> structured memo/brief
https://t.co/cFwIiGQGDc

Agent Catalog access, per-API pricing, IBM Cloud billing.

🎥 Integration guide: https://t.co/2KtSolxOkW
🎥 Medical agent guide: https://t.co/SvxWGcBodY
🎥 Legal agent guide: https://t.co/U3R2JSF3b8

[Dynamiq @DynamiqAGI]

📢 Big update: you can now connect any #MCP server directly to agents in @DynamiqAGI! This means your agents can tap into custom tools, APIs, and data sources exposed via MCP, giving you more flexibility to design enterprise-grade AI workflows without workarounds.

[Dynamiq @DynamiqAGI]

We just published a new case study on how financial institutions can automate mortgage pre-approval using @DynamiqAGI together with @AmazonNova_ on @awscloud Bedrock.

In the article, we walk through how banks can design a 5-agent underwriting workflow (covering financial analysis, credit checks, property valuation, income verification, and senior risk review), enforce institution-specific policies at every decision point, and even plug in or mock Plaid/Experian data for testing.

You’ll also see how multi-agent orchestration with Nova improves explainability, speeds up reviews, and makes minutes-level pre-approvals possible without sacrificing compliance. If you’re curious about how AI agents are being applied to real financial workflows, this one’s worth a read.

👉 Read the case study: https://t.co/eJ9rlEVrYA

[Dynamiq @DynamiqAGI]

We're excited to share that @DynamiqAGI has completed the App Defense Alliance’s Cloud Application Security Assessment CASA Tier 2 🛡️

If your team needs secure, compliant AI workflows and agents grounded in corporate data, Dynamiq is ready to help.

🔗 Try it here: https://t.co/rMZIm3aMgw

[Dynamiq @DynamiqAGI]

📢 New Knowledge Base Integrations!

@DynamiqAGI now supports @Box, @onedrive, @SharePoint, and @NotionHQ, making it even easier to ground your AI agents in real-time, enterprise-grade knowledge.

🔍 Connect directly to your team’s existing docs
💡 Build agents that understand your business
🏢 Perfect for internal copilots & knowledge assistants

No data migration. Just connect and deploy.

👉 Try it for yourself: https://t.co/rMZIm3aMgw

[Dynamiq @DynamiqAGI]

⚡️ New Feature: Export Workflows as Python Scripts

You can now export any Dynamiq workflow into a standalone Python package, making it easy to integrate into CI/CD pipelines, run offline, or customize for advanced use cases.

🔁 Move seamlessly from low-code to full-code
⚙️ Ideal for internal dev teams and custom environments
📦 Run exported workflows with: python https://t.co/gtDi5aE1k8

This gives you the power of Dynamiq beyond the UI, all while keeping full transparency and flexibility.

🧪 Ready to try it? Just export, plug in your API keys, and go.

[Dynamiq @DynamiqAGI]

🔥 New open source models now available in @DynamiqAGI: gpt‑oss‑120b and gpt‑oss‑20b from @OpenAI!

Dynamiq is one of the few platforms where you can build and deploy AI agents using these powerful models — now accessible via @togethercompute, @GroqInc, @cerebras and @FireworksAI_HQ.

⚡ 120B+ parameters for high-quality, complex reasoning
🧠 Strong performance on MMLU, GSM8K, HumanEval & more
🔄 Optimized for multi-agent and agentic workflows
🔓 Open weights = full control & transparency

Build smarter, safer agents, without closed-box limitations.

👉 https://t.co/TKROACdQKt

[Dynamiq @DynamiqAGI]

@DynamiqAGI isn’t just a platform. We pair our @awscloud-deployable agentic AI stack with consulting services to help you architect, build, and deploy agents for your business use cases efficiently.

🔗 Book a free consultation: https://t.co/CjRlGazIbk

[Dynamiq @DynamiqAGI]

🔐 New on the @DynamiqAGI blog: LLM Guardrails in Private Equity: How to Scale GenAI Safely Across Portfolio Companies.

From prompt logging and anomaly detection to human-in-the-loop approvals, this guide breaks down practical steps for deploying safe, compliant GenAI across your portfolio.

📋 Guardrail checklists
🛡️ Risk mitigation strategies
💬 Tips to get IC buy-in

👉 https://t.co/Iy9AGOWEPP

[Dynamiq @DynamiqAGI]

Big milestone for agentic AI 🌍 @DynamiqAGI is proud to be an early contributor to AGNTCY, which just joined the @linuxfoundation alongside @RedHat, @Oracle & @googlecloud.

We’re working together to shape open standards & tooling for multi-agent AI.

[Dynamiq @DynamiqAGI]

Stop stitching together fragmented AI tools. @DynamiqAGI provides an end-to-end agentic AI platform, low-code workflows, RAG, observability, fine-tuning, and built-in UI, now deployable in your @awscloud with ease.

🔗 Learn More: https://t.co/d3Vc6fpziO.