Ask questions in plain English and get answers from your databases, documents, and BI tools in seconds. No queries, no tickets, no waiting.
We build custom AI systems that deliver measurable ROI for established companies. Production-grade solutions built by engineers who've shipped 150+ AI projects. Purpose-built systems around your data, your workflows, and your team.
Reduce the time your team spends searching for answers across systems, dashboards, and email threads.
Give your people instant, sourced answers from live databases instead of waiting on reports or colleagues.
Connect SharePoint, CRM, ERP, SQL databases, and Power BI into a single conversational interface.
The information your people need already exists. It's just locked inside systems they don't have time to dig through.
Your employees shouldn't need to know SQL or navigate five different dashboards to find a billing number. A conversational AI assistant lets them ask in plain language and get a sourced, specific answer pulled directly from your company's actual data.
Unlike one-off search tools, our conversational AI solutions remember what was asked two questions ago. Your team can follow up, refine, and drill deeper into the data without starting over every time.
Every assistant we build enforces role-based access. A technician sees their own job assignments. A manager sees their team's. HR sees what HR needs to see. The AI respects the same permission boundaries your systems already have.
The assistant translates natural language into SQL, DAX, or API calls, querying your Azure SQL, PostgreSQL, Snowflake, or Power BI models directly. Your team asks a question; the system writes and runs the query behind the scenes.
We index your SharePoint files, policies, handbooks, and internal docs into a RAG system so the assistant can pull sourced answers from your company's own materials, not the open internet.
Every assistant runs inside your cloud environment. Your data never leaves your walls, never trains a public model, and the code is yours when the project is done.
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Our process starts with connecting you to our leaders, who have built over 150 projects. If aligned, the second call will include our Product Managers and Engineers to scope the project. The final step is a proposal presentation.
We start by immersing ourselves in your business, industry, and existing software. We then build a functional proof-of-concept to validate the technical feasibility. This hands-on planning process arms you with a clear architectural blueprint and a precise technical implementation roadmap for the next phase.
Production-grade AI software, built in your infrastructure, with real-time visibility into every task. No prototypes, no maybe's. Just code that delivers testable ROI. We trademarked Full Transparency Development ™ , so you’re never left in the dark.
Go live, measure results, and scale AI across your organization at a predictable cost. We build with the right guardrails and measure KPIs on real results. We train your team to operate and manage what we developed, or we can provide ongoing maintenance and support.
The most impressive thing was their versatility and breadth of knowledge about our industry.
PM was amazing. They were on top of everything and kept the project moving very quickly.
The project management team was on top of every phase and maintained detailed notes.
The 923 team was fantastic to work with and taught me a lot about ML and AI.
The Knowledge Base organizes and retrieves information from documents. Conversational AI is the interface layer on top. It holds context across a conversation, queries live databases, and lets your team interact with data the way they'd talk to a colleague.
Yes. We build SQL and DAX agents that query your databases directly. Your team asks a question in plain language; the assistant writes and executes the query behind the scenes.
We integrate with your existing identity provider (Microsoft Entra ID, Okta, etc.) and enforce row-level security so the assistant only returns data the person asking is authorized to see.
In your cloud environment. Azure, AWS, GCP, or on-premise. Your data stays inside your infrastructure and is never used to train external models.
Yes. We build agents that interface directly with Power BI semantic models, so your team can ask natural language questions about financial, operational, or billing data without opening a dashboard.
10 to 14 weeks for most enterprise implementations, depending on the number of data sources and complexity of permissions.
Build a new platform, or add AI capabilities to existing software, we deliver solutions that work in real operational environments.
Meet with founders Andrew Amann & Pavel Kirillov
Custom AI implementation roadmap
No sales pressure
