Agents that act on real systems.
Plan, act through MCP tooling on the desktop, the cloud, and the OS, check their own work, and escalate when the stakes justify a human. Credentials never leave the device.
The AI our engineershave already put in production.
Agents that act on live systems, citation-grounded document intelligence, and sub-second voice. Every case study below is the architecture, the failure modes we hit, and the numbers we measured. We can walk you through any of them live.
At a glance
Review the problem, implementation, result, and delivery status of each project. Open the engineering version where available to inspect the build decisions.
- Who this is for
- Buyers checking delivery experience and engineers reviewing how the systems were built.
- Topics
- AI agents
- Document intelligence
- Voice AI
- Delivery status
- Executive operationsDynamic tool discoveryVenture-Backed B2B SaaS Built an AI Chief-of-Staff AgentA desktop AI chief-of-staff that plans a goal, acts across email, calendar, docs, and CRM, and checks its own work, with credentials that never leave the device. We built dynamic tool-discovery for it months before the labs made it a standard.55%80%Tasks done without a human
- SalesOn-device inferenceSeries A SalesTech Built an On-Device AI Meeting Intelligence PlatformA real-time sales co-pilot that detects a live meeting, transcribes it on-device, and writes a clean, CRM-ready summary the moment the call ends. No audio ever leaves the laptop.~2ndIn the world to ship live-meeting detection
- Cloud infrastructureHuman-gated tool executionSeed-Stage DevOps SaaS Built an AI Cloud Operations AgentA DevOps agent that turns plain-English requests into safe, validated cloud changes, using MCP tools to inspect, apply, and roll back, all scoped to your own account.10%4%Fewer failed changes
- Legal & IPCitation-bounded retrievalSeries A LegalTech Built an AI Trademark Drafting PlatformA fine-tuned LLM with RAG over a trademark and IP library, built so the model can only cite firm-approved authorities. A practicing trademark attorney tested it daily and signed off on its drafts.40%98%Five-part template adherence
- ESG & institutionalClaim-to-evidence lineageInstitutional ESG Analytics Built an AI Filing Intelligence PlatformAgentic search over dense ESG and institutional filings. It extracts the data, grounds every answer in a citation, fact-checks new documents against the knowledge base, and builds interactive reports on top.Every answerCited and fact-checked
- Fund operationsFigure-to-source lineageInstitutional Fund Manager Built an AI Reconciliation PlatformFund and portfolio management in one place. It automatically pulls in statements and brokerage data from every custodian, then handles reconciliation, dashboards, and compliance in a single view.DayshoursMonth-end reconciliation
- Market intelligenceEvidence-locked retrievalBigcircle Built an AI Prospect Intelligence EngineCompany and market intelligence at scale. Hybrid RAG over a vector database turns web-scale research into clean, structured answers, every one locked to a real source rather than invented.AfternoonminutesPer full-profile workup
- InsuranceTyped tool boundary at 900msEnterprise Insurer Built an AI Voice Claims PlatformAn insurance voice agent that handles policy, claim, and payment questions over the phone through MCP tools. Fast, fully auditable, and built to hold its response time under heavy call volume.900msTime to respond
- Real estateConstraint resolution on live inventoryPropTech Platform Built an AI Voice Property Discovery AgentOur voice agent, retargeted for real estate. Buyers explore listings by phone in English, Hindi, and Hinglish: conversational, fast, and grounded in live inventory.<1.3sTime to respond
- Sales coachingRubric-governed scoringBigcircle R&D Built an AI Sales Roleplay Coaching PlatformA voice-based sales coaching simulator. A voice agent runs realistic roleplay calls, throws objections and counter-questions, and a rubric-based engine turns each one into a skill-by-skill scorecard.20–40m2–3mManager review time
The demo is the easy part. Everything here survived the rest.
Three problems, shipped over and over.
Grounded document & data intelligence.
Citation-backed extraction and search over dense, regulated filings, with a validator that rejects anything outside the approved index. Every answer traces to a real source.
Real-time voice that holds under load.
Multilingual agents that answer on the line in about a second, verify the caller, and log every call as a structured, replayable record. Built on one runtime we reuse across verticals.
Let's build something that ships.
Tell us what you're building. We'll tell you whether you need an engineer embedded or the whole build led, what's achievable, and where the real bottlenecks are.