PlatformPilot vs. past.dev Comparison Chart

JAMS is an automation orchestration and job scheduling solution that runs, monitors, and manages critical IT processes from a single console, from simple batch jobs to complex, cross-platform workflows. JAMS automates jobs across Windows, Linux, UNIX, IBM i, z/OS, and OpenVMS, with native integrations for the databases, BI tools, and ERP systems already running your business, including SQL Server and SAP. Jobs run on any schedule or trigger off other events, and dependency management keeps multi-step workflows in the right order. Every job is centrally monitored, with notifications on success or failure and an audit trail of every execution. Built-in conversion tools migrate existing jobs from Windows Task Scheduler, SQL Agent, or Cron without rebuilding them, and JAMS replaces homegrown, single-platform scripts with one centrally managed system. JAMS includes two AI capabilities at no additional cost. JAX is an AI agent built into the JAMS Web Client. Ask it a question in plain language, and it finds a job, troubleshoots a failure, or looks up how to do something, grounded in JAMS documentation, not general AI guesswork. It acts only when asked, and every change waits for your approval. JAMS MCP brings JAMS into the AI coding tools teams already use, including Cursor, Claude Code, GitHub Copilot, and Claude Desktop. Both run inside the customer's network with the signed-in user's permissions and no elevated AI account, and every action, AI-driven or not, lands in the same audit trail as everything else in JAMS. For teams managing thousands of jobs across SQL Server, ADF, Airflow, SAP, JDE, and Banner, this cuts tribal knowledge and middle-of-the-night troubleshooting. Knowledge that once lived in one person's head becomes something any team member can ask about directly. The AI lives in the product, not in the support queue. Support is staffed by humans JAMS will never outsource, based in the United States, the United Kingdom, and Australia. New tickets go to long-tenured engineers, and every JAMS customer has the CEO's cell phone number. JAMS' mission is to reduce the operational burden of critical automation, so teams spend more time on the work automation was meant to free them for.

Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. The platform provides access to over 200 leading AI models, including Google’s Gemini series and third-party options like Anthropic’s Claude. It enables teams to create intelligent agents using both low-code and code-first development environments. With features like Agent Runtime and Memory Bank, businesses can deploy long-running agents that retain context and perform complex workflows. The platform emphasizes security and governance through tools like Agent Identity, Agent Registry, and Agent Gateway. It also includes optimization tools such as simulation, evaluation, and observability to ensure consistent agent performance.

NeuBird is the governed center of agentic operations: one secure, audited connection to your telemetry and your LLMs, with a memory of every investigation, so your engineers, your leaders, and your own agents all start from what the company already knows.

Air gives your team's work a memory. Every asset, version, and approval is tracked in one place, and that context powers everything that happens next: finding what's approved in seconds, adapting it for any channel, and scaling it everywhere without breaking brand. Air connects the creative team that makes the work to the marketing team that multiplies it, with a shared system of record keeping everyone aligned.

Securely deploy vibe-coded apps in one governed platform. Build in Retool, import from tools like Claude Code, Replit, or Lovable, or connect via MCP. However your team builds, every app ships safely, with governance built in. People across your organization are already vibe-coding internal tools with no SSO, no RBAC, no audit logs, and no connection to your existing data controls. Retool is where secure vibe coding happens by default. Build from scratch, import an app from another AI builder, or connect an agent via MCP — governance lives in the platform, not in each individual app.

LM-Kit.NET is a complete local AI runtime for .NET that lets engineering teams ship AI-powered features without cloud dependencies, per-token costs, or data leaving the network. Most .NET AI integrations stop at inference. LM-Kit.NET covers the full range of capabilities production applications actually need: agentic workflows with tool calling, planning, and memory; document intelligence with OCR and structured extraction; retrieval-augmented generation with built-in vector storage; multilingual speech-to-text; vision and multimodal understanding; text analysis with classification, NER, PII extraction, and sentiment; and text generation with translation, summarization, and constrained output. Ships in one NuGet package, runs in-process with no sidecar services, and works across all major hardware acceleration backends. Drop-in replacement for Semantic Kernel through its Microsoft.Extensions.AI compatibility layer.

VKS is a digital work instruction software that makes it easy for companies to throw out paper work instructions and transform into a digital factory. Create digital work instructions and standard operating procedures (SOPs) using pictures, videos, PDFs, annotations and more. Integrate in-process quality checklists to help reduce defects by up to 95%. Standardize best practices and increase productivity by 20%. With real-time process control and built-in reports, you also get 100% guaranteed traceability. By switching to digital work instructions, you can capture tribal knowledge and eliminate the skills gap. You also benefit from increased communication on the shop floor and the subsequent improved accuracy of your operational decision-making.

Bigly Sales is a fully managed AI calling platform for sales teams, lead generation companies and call centers. AI voice agents call, qualify, nurture and live-transfer leads around the clock, answer inbound calls, and book appointments, while every outcome writes back to your CRM. You don't assemble the stack yourself. Bigly writes your call scripts with Claude, ChatGPT and other leading LLMs, then tests script versions against each other on live traffic and keeps the one that converts best. Phone numbers, carrier registration, more than 200 whitelisted lines with local presence, spam monitoring, call routing and campaign setup are handled for you before the first dial. Each call is checked against consent, suppression lists, known TCPA litigants and state and federal calling rules, including quiet hours, before it is placed. Reporting is built around the result you pay for. The dashboard tracks success rate per lead, cost per transfer and cost per human contact, plus a dial-to-transfer funnel that shows where calls drop off: no answer, DNC request, failed qualification, or a transfer the agent never picked up. Leads can arrive in real time from API vendors or as uploaded lists, and every source is ranked by success rate and cost, so you can see which lead vendors pay off. An hour-by-hour view shows when your leads actually convert. The Bigly Sales MCP server lets you run the account by asking Claude or ChatGPT: add leads to an active campaign, check pacing and minute usage, pull call summaries and transcripts, or find out who picked up today and wants a demo. Common uses include aged and dead lead reactivation, speed-to-lead follow-up on web and vendor leads, appointment setting, inbound answering and overflow, and warm transfers to licensed agents in insurance, lending, home services, legal, auto and political fundraising. Integrations include HubSpot, Salesforce, Zoho CRM, Pipedrive, GoHighLevel, Close, Follow Up Boss, Keap, monday CRM, Freshsales, ActiveCampaign and Microsoft Dynamics 365, plus an API for real-time lead posting. Plans start at $99 a month for 500 minutes, and Hunter, Closer and Rainmaker add a dedicated account manager who watches results and tunes your campaigns. New customers start with a free 30-minute AI calling setup ($3,000 value): the team builds your calling system live, shows the MCP and runs a test call.

Compute Engine is Google's infrastructure as a service (IaaS) platform for organizations to create and run cloud-based virtual machines. Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications. Integrate Compute with other Google Cloud services such as AI/ML and data analytics. Make reservations to help ensure your applications have the capacity they need as they scale. Save money just for running Compute with sustained-use discounts, and achieve greater savings when you use committed-use discounts.

The Responsible AI-Agent for organizations where the answer HAS TO BE RIGHT. kama.ai answers from knowledge your team approves, not from what a model guesses. Every response is accurate, consistent, and traceable to its source. Governed by design. How it works: kama.ai is built on a Knowledge Graph AI. Your team curates Trusted Collections of approved information and documents, and the AI Agent answers from them exclusively. Best of all you get consistent answers to the same questions - every time. Governed Generative AI helps with phrasing and coverage within limits you set. Then Intelligent Automation lets the Deterministic AI agent complete multi-step tasks. No hallucinations allowed, where real-world consequences are at stake. This AI doesn’t just answer questions. A Human in the Loop approves key, high frequency questions - to make sure everything is brand-safe. Why it's different: Most AI chatbots generate first and add guardrails afterward. kama.ai works the other way around: Deterministic AI first to guide and orchestrate. Then generative AI helps only where you allow it. This lowers the risk of AI adoption for teams that can't afford a wrong answer about a permit, a policy, the way to fix an expensive machine on the line, a procedure, or their brand. Built for: manufacturers, municipalities, government, colleges and universities, professional services, non-profits, museums, and Indigenous services organizations. Purpose-built to be transparent, accountable, and culturally aware. Get the right information to the right people, at the right time. If it's got to be right, it's got to be kama.ai.