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pgEdge Announces pgEdge Starfleet, a New Postgres Cloud Platform to Bridge the AI Prototype to Production Chasm

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The First to Combine AI-Native Tooling and a Smooth Developer Experience With Flexible Deployment Options, Data Sovereignty, and Global Scalability

ALEXANDRIA, Va., Sept. 28, 2026 /PRNewswire/ — pgEdge, the leading open source Postgres company for agentic AI and enterprise applications, today announced pgEdge Starfleet, a new Postgres cloud database platform built to bridge the widening chasm between enterprise AI prototypes and actual AI production applications. pgEdge Starfleet is the first 100% Postgres cloud database platform to combine a smooth developer experience and comprehensive agentic AI tooling with flexible deployment options (including on-premises), data sovereignty, and the ability to scale to highly available, zero-downtime multi-region clusters.

pgEdge Starfleet allows developers to build at AI speed and then deploy anywhere.

According to research by IDC and Lenovo, only 46% of general AI and agentic AI prototypes reach production, and 82% of organizations need to leverage hybrid or on-premises environments for AI workload deployment. Often, the underlying data infrastructure platforms used for prototyping were never designed to meet stringent enterprise requirements such as security, compliance, high availability, reliability and data sovereignty, including the ability to deploy on-premises, air-gapped or in a private cloud, with full control over where data lives.

Nevertheless, developers have been attracted to these platforms because of the ease of getting started, the developer experience, and their support for agentic AI applications. pgEdge Starfleet closes the AI prototype-to-production gap by combining the experience and features developers love with the capabilities and deployment flexibility enterprises demand.

“Business teams can now use AI coding agents to build apps without waiting on IT,” said Mike Leone, VP and principal analyst at Moor Insights & Strategy. “Once one of those apps moves to production, its database needs the same security and uptime standards as any other core system.”

“pgEdge Starfleet allows developers to build at AI speed and then deploy anywhere, without finding themselves at an architectural dead end,” said Phillip Merrick, CEO of pgEdge. “Only with pgEdge Starfleet is it possible to start for free with a single small Postgres instance, then scale all the way up to multi-region clusters running on our cloud, your cloud or on your own on-premises infrastructure.”

What Sets pgEdge Starfleet Apart

Comprehensive Agentic AI tooling. pgEdge Starfleet incorporates the pgEdge Agentic AI Toolkit for Postgres, which includes a full-featured MCP server, making it easy to connect agentic code generators such as Claude Code, Replit and Cursor. A dedicated RAG API server supports retrieval-augmented generation (RAG) of text based on content within a PostgreSQL database, using pgvector. A PostgREST API server supports database access directly from browser clients using PostgREST, a pattern popular with certain agentic code generators like Lovable.True copy-on-write fast database branching. pgEdge Starfleet provides true copy-on-write database branching to support parallel agentic experiments in addition to easing support for separate development, testing and staging databases, or aligning with branches in GitHub source code repositories. Unlike other solutions, pgEdge has implemented this capability without replacing the Postgres storage layer with its own proprietary or semi-proprietary storage layer.Smooth developer experience. Initial sign-up for a free trial — without a credit card — and creation of your first database takes under two minutes. Connect to your database instance right away. Easily add MCP and RAG servers, and optionally enable PostgREST API access to your database. Add a credit card and select your instance size. Pricing is simple, flat and predictable, and starts at $25/month.Flexible deployment options. Developers start fast on pgEdge-hosted infrastructure, then choose to deploy in production either on the pgEdge Cloud, the enterprise’s own tightly controlled cloud, or on on-premises infrastructure, even if air-gapped. When deploying on-premises or self-hosted via pgEdge Enterprise Postgres, customers can utilize pgEdge’s curated array of platform binaries — compiled, tested and validated for their specific hardware and OS environment. No other vendor offers this choice, allowing customers to meet their data sovereignty requirements while running applications on the same identical Postgres platform across cloud and on-premises.Secure by default. pgEdge has drawn on years of working with some of the largest and most demanding enterprise Postgres users to design pgEdge Starfleet as “secure by default.” This includes ensuring users’ database infrastructure is not wide open to the internet by default, relying on IP allowlisting to restrict access to authorized applications. The MCP server integrated into pgEdge Starfleet incorporates numerous security and governance guardrails, including the ability to ensure read-only connections are truly read-only via pgEdge SafeSession.Global scalability. Developers can start with a single instance of Postgres, scale through an array of ever larger compute sizes, then ultimately grow to a multi-region cluster for high availability and zero downtime.100% pure open source Postgres. pgEdge Starfleet utilizes pgEdge Enterprise Postgres, which itself is 100% based on standard community Postgres. All included pgEdge and third-party-developed extensions are open source under the PostgreSQL license or OSI-approved equivalent. The source code for pgEdge developed extensions is available at the pgEdge GitHub page, https://github.com/pgedge.Supported by people who help build Postgres itself. Members of the pgEdge team are active members of the Postgres community and include a core team member, major and significant contributors, authors of popular Postgres books, and board members of the regional Postgres community associations in North America and Europe.

“AI is core to our business, so we need infrastructure that lets developers move fast without adding complexity,” said Arnaud Jaspart, CTO, Enquire AI. “pgEdge gives us a familiar, standard Postgres experience with built-in AI capabilities like RAG and MCP, which makes working with agents simpler and safer. We run pgEdge in a hybrid cloud environment, which gives us control over where our data resides and how it is managed. We also have the flexibility to use managed cloud, customer cloud or on-premises deployments as our needs change.”

Availability

pgEdge Starfleet is available now, and users can sign up for a free 14-day trial at www.pgedge.com/products/starfleet.

Documentation is available at docs.pgedge.com. To learn more, watch the brief pgEdge Starfleet Quickstart video at www.youtube.com/watch?v=XSDZHfW-5XM.

About pgEdge

pgEdge, the leading open source enterprise Postgres company for AI, delivers 100% Postgres infrastructure for agentic AI and other enterprise applications that demand high availability, reliability and data sovereignty. Our mission is to make it easy to build, deploy and manage enterprise-grade AI and other applications at scale on Postgres. pgEdge is trusted by organizations including Bertelsmann, Qube RT, Thales, and U.S. government agencies. Our team are active members of the Postgres community and include a core team member, significant contributors, members of the PgUS, PGCA and PGEU boards, along with conference and user group organizers. For more information, visit www.pgedge.com and follow the company on LinkedIn.

PostgreSQL is a trademark of the PostgreSQL Community Association of Canada. All other trademarks are the property of their respective owners.

Tags: pgEdge, pgEdge Starfleet, Postgres, PostgreSQL, pgEdge Enterprise Postgres, pgEdge Cloud, pgEdge Agentic AI Toolkit for Postgres, AI, artificial intelligence, agentic AI, developers, open source, data sovereignty, Phillip Merrick

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SOURCE pgEdge

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Balto Launches Kodi: Contact Center Leaders have a New Way to Ask Anything, Find the Answer, and Put It to Work

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Kodi works alongside contact center leaders to investigate problems, uncover opportunities, recommend what needs to happen, and put approved decisions into action.

ST. LOUIS, Sept. 28, 2026 /PRNewswire/ — Balto today announced the general availability of Kodi, an AI coworker built specifically for contact center leaders that can investigate issues, determine what needs to happen next, and execute approved changes across the tools teams use to run the floor. Rather than stopping at an insight or recommendation, Kodi can carry the work through to action, turning contact center data into changes that can improve performance, revenue, quality, and compliance.

This changes what you can do with contact center data. When something needs to improve, you can have Kodi investigate the underlying interactions, identify the factors driving the outcome, show the evidence, determine what needs to change, and recommend where that change should happen. You review the recommendation, approve it, and Kodi can put it into action through Agent Assist, coaching, QA scorecards, compliance scorecards, Notes, dynamic prompts, checklists, dashboards, data fields, and other Balto capabilities.

“Most insights tools stop at the moment they show you the problem,” said Kyle Jones, VP of Product at Balto. “Kodi is built for what happens next. It can investigate the issue, work through the evidence, determine what needs to change, and then go into Balto and make the approved change.

A new way to work with your contact center

For years, contact center technology has given leaders more dashboards, more reports, and more data. The challenge has been turning that data into decisions and then turning those decisions into changes on the floor. Kodi brings those steps together. It can work through the data required to understand what is happening, connect findings to the underlying interactions, identify the factors driving the result, and determine what action could improve the outcome. Because Kodi operates inside Balto, it can then move that decision into execution.

Kodi can also recognize when the original question is not enough. If additional data would produce a better answer, it can create what is needed, backfill the last 60 days, and begin tracking it going forward.

The result is not simply an answer to the question that was asked. Kodi can also surface related patterns and problems you did not think to ask about.

From insight to action without change management required

Execution is powered by a different way of working with your contact center. You can start with a question, a problem, an observation, or something you simply want to understand. You do not need to know exactly which report to run or which data field contains the answer.

The way you need information depends on what you are trying to understand or decide. Kodi can adapt its output to match. You can ask for a chart, change the visualization, compare time periods, break results down by team or location, see the interactions behind a number, summarize findings across conversations, or turn the result into a report or PDF you can share. The information is not locked inside a predefined dashboard. Kodi can work with you to shape the answer around the question, the evidence, and the decision in front of you.

You can ask Kodi to go deeper, change the timeframe, compare teams, investigate a pattern it surfaced, or show the calls behind a finding. The conversation gives you a way to direct the work while Kodi handles the investigation. The insight, the decision, and the tools needed to execute it are connected. Kodi has immediately closed the gap between what you know and what you can do.

Availability

Kodi begins rolling out today exclusively for all Balto customers. To see it in action, visit balto.ai/contact-center-insights/.

About Balto

Balto unifies the contact center by pairing human execution with the speed of agentic AI. Powering thousands of customer interactions daily across the globe, Balto’s agent assist, automated QA, and agentic insights to empower contact centers to maximize revenue, eliminate compliance risk, and scale elite operational performance. Headquartered in St. Louis, Missouri, Balto is backed by premier venture capital firms and trusted by leading brands across financial services, healthcare, insurance, and retail operations. Learn more at balto.ai

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SOURCE Balto Software, Inc.

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Vertafore Launches Velocity Document Intelligence Agent to Automate Research Across Insurance Workflows

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New Velocity AI agent helps insurance professionals find and act on critical information faster across document-intensive workflows

DENVER, Sept. 28, 2026 /PRNewswire/ — Vertafore®, the leader in insurance distribution technology in the AI era, today announced general availability of its new Velocity™ Document Intelligence Agent, which automates time-consuming research across insurance documents so professionals can get to the information they need faster.

Agency, MGA, and carrier teams often spend significant time reviewing dozens of documents to answer a customer question, renew or endorse a policy, assess a risk or resolve a claim. The information they need is usually somewhere in the content they have access to, but the time it takes to find, compare and piece it together is the problem.

Available in Vertafore’s ImageRight®, Document Intelligence Agent automates that research so insurance professionals can spend less time finding and more time acting on information.

Users ask a question in natural language and the AI agent finds and synthesizes relevant information across the content they are authorized to access—spanning Word documents, spreadsheets, PDFs, images, email, and more—bringing it together in a clear answer with document- and page-level source citations. Unlike traditional keyword search, the agent uses the meaning and context of the question to surface relevant information rather than simply returning matching results.

For example, Document Intelligence Agent can identify and summarize changes in coverage between policy terms, bring together claims and loss history to support underwriting or reconstruct the documented sequence of communications around a claim—supporting everything from compiling an answer while on the phone with a client to reviewing a new submission, preparing for a renewal, taking over a new account, and preparing for an audit.

In early testing, information that took approximately 20 minutes to find manually was surfaced in two minutes—up to a 90% reduction in document search and review time.

“Our teams spend a lot of time searching through policy files for specific information, sometimes going back years,” said Amber Troyer, Software Administrator at Hummel Group Insurance. “With the Document Intelligence Agent, we can ask what we’re looking for in plain language and get directly to the right information. It’s even finding relevant results in mislabeled documents—something that would be easy for a person to overlook. This is going to help our team surface all the content they need to service accounts, faster.”

“Insurance professionals spend a huge amount of their expertise just finding the information needed to do their job,” said James Thom, president and chief AI officer at Vertafore. “AI changes that equation. By automating the research and bringing the right information forward, we can remove a major source of distribution drag and give people more capacity for the decisions, relationships and judgment that require their expertise.”

Bringing specialized AI into insurance workflows

Built on the Vertafore Velocity™ AI Platform, Document Intelligence Agent is the latest addition to Vertafore’s growing portfolio of AI agents embedded directly in the workflows insurance professionals use every day.

The new AI agent is a key enabler to Vertafore’s vision for the Agentic Agency and Digital Underwriter, helping the insurance industry eliminate drag across the distribution lifecycle and achieve Distribution Velocity—speed with intentional outcomes across workflows. Leveraging AI to take the friction out of research and surface insights is a valuable step in empowering agencies, MGAs and carriers to adapt faster and grow smarter.

About Vertafore

Vertafore powers Distribution Velocity, accelerating every part of the insurance value chain within and across agencies, MGAs, and carriers so they can adapt faster and grow smarter. As the trusted backbone of the industry, Vertafore provides the core digital systems, specialized AI, and data-driven foundation to eliminate distribution drag across sales, servicing, accounting, underwriting, and back-office operations, taking insurance workflows from friction to flow.

Supporting over 95% of the top agencies and insurers and 50% of industry compliance transactions, Vertafore leads at the intersection of innovation and trust, giving customers the speed, performance power, and confidence to transform and grow at scale in the new era. Vertafore is headquartered in Denver, Colorado. Learn more at www.vertafore.com.

©2026 Vertafore and the Vertafore logo are registered trademarks of Vertafore. All rights reserved. All other trademarks are the property of their respective owners.

MEDIA CONTACT:
INK Communications
vertafore@ink-co.com

New Velocity AI agent helps insurance professionals find and act on critical information faster across document-intensive workflows

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SOURCE Vertafore, Inc.

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FULCRUM LAUNCHES CERTIFICATE AUTOMATION, DOUBLING THE TIME ITS PLATFORM GIVES BACK TO ACCOUNT MANAGERS

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Workflow verifies coverage and pulls endorsement forms directly from the policy, extending automation Fulcrum already runs for policy checking and proposals.

SAN FRANCISCO, Sept. 28, 2026 /PRNewswire/ — Fulcrum today launched a certificate workflow that returns a complete, endorsement-ready certificate from an emailed request in under a minute, built on the same policy data the platform already uses for policy checking and proposal generation.

Fulcrum automates the underwriting context the document depends on, reading the policy rather than filling a form the way most certificate tools do. The workflow reads the inbound request and any attached contract, compares what is being demanded against the coverage the client actually carries, and flags requests the policy cannot satisfy before an account manager commits to anything. It locates the supporting endorsement forms inside the policy, pulls them, sorts them by the situation they apply to, and attaches them. Description of operations language comes from wording the agency has already approved, shaped to each client’s preferences. Account managers review and approve every certificate before it issues.

“When you track the lifecycle of a policy, from policy checking to proposals to servicing, certificates are such a major, tedious piece of that,” said Albert Hu, Product Lead for certificates at Fulcrum. “They’re also extremely hard to automate, because they require so much context about where a policy stands. We’d always wanted to build it, and once we’d proven ourselves with other workflows, we knew it was time.”

Certificates are the latest, and most demanding, of the major workflow areas Fulcrum has taken on, following policy checking and proposal generation. The sequence was deliberate: both of those required the platform to read and reconcile policy data across carriers, forms, and lines of business, and certificates inherit that same foundation.

Renewals compound the gain: because each certificate is built from current policy data rather than a stored template, an entire account can be reissued in a single batch, work that can otherwise take agencies days or weeks each year. It is the largest single gain Fulcrum has delivered to date, doubling the time the platform returns to account managers. Endorsement handling drew the most scrutiny from early users but has been fully tested and proven.

“I am confident, based on what Fulcrum has built, that this new workflow is going to be a game changer for all of Foundation Risk Partners (FRP) We’re really excited about the deployment of COIs,” said Daniel Greene, Midwest Regional Vice President of P&C Operations at FRP.

“Certificate requests are one of the most repetitive, time-consuming parts of an account manager’s day, not because the work is unimportant, but because it eats up hours that should go to higher-value client conversations,” said Arjun Mangla, CEO and Co-founder at Fulcrum. “Getting that time back without losing turnaround is what changes for these teams.”

Fulcrum is used by nearly half of the top 50 U.S. insurance brokerages and executes more than 2,500 hours of servicing work each day. The certificate workflow joins the company’s agents for policy checking, coverage analysis, proposal preparation, and sales preparation.

About Fulcrum

Fulcrum is the leading AI platform for insurance brokerages, helping teams modernize workflows like policy checking, proposal generation, and certificate issuance. Trusted by top U.S. brokerages, Fulcrum’s AI agents integrate directly with existing systems to deliver faster, more accurate service without adding headcount. Learn more at www.withfulcrum.com

Media Contact: Colleen O’Hara | press@withfulcrum.com

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SOURCE Fulcrum

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