Agentic applications
AI agents that plan, call tools, and coordinate multi-step workflows, with reusable skills and clear handoffs between agents and people.
AGENTS · SKILLS · ORCHESTRATIONSPECIALIZED INTELLIGENCE. REAL-WORLD IMPACT.
AI that knows
your business.
And gets to work.
We design and develop agentic AI applications for the workflows that make your business unique.
Agentic AI · Web applications · iOS & Android
FROM CONTEXT TO ACTION01 — 03
THE STARTING POINTA new property opportunity
YOUR SPECIALIZED AGENTAnalyze & qualify
Documents · Portfolio data · Criteria
THE NEXT STEPInvestment brief ready for review
◎ Human judgment, always in the loop
EXPERIENCE ACROSS
AMBITIOUS ORGANIZATIONS
01 / OUR EXPERTISE
From possibility to production.Your workflows are specific.
Your AI should be, too.
Great AI applications start with understanding the work. We bring domain expertise and hands-on engineering together to build agents that fit your people, processes, and systems.
Intelligence in context
RAG pipelines and domain knowledge that ground agent responses in your documents and data, with retrieval and source attribution.
RAG · RETRIEVAL · DOMAIN KNOWLEDGEBuilt for the real world
Connect agents to your systems through MCP and APIs. Ship with task-based evals, tracing, access controls, and human approval for sensitive actions.
MCP · APIs · EVALS · OBSERVABILITYNative mobile applications
Swift and SwiftUI for iOS. Kotlin and Jetpack Compose for Android. Native experiences connected to your backend services and AI capabilities.
SWIFT · SWIFTUI · KOTLIN · COMPOSEINSIDE THE APPLICATION
The right architecture
for the work.
- Agents & orchestration
- Task decomposition, tool calling, shared state, and deliberate handoffs across the workflow.
- Skills & playbooks
- Reusable instructions, tools, and domain procedures that give agents a consistent way to perform specialized tasks.
- MCP & API integrations
- Model Context Protocol servers and APIs that give agents controlled access to business tools and data.
- RAG & context engineering
- Retrieval-augmented generation and carefully assembled context to bring the right knowledge to each task.
- Evals & observability
- Real-task test sets and execution traces to assess quality, investigate failures, and track latency and cost.
- Human-in-the-loop controls
- Permissions, approval steps, and escalation paths that keep people accountable for consequential decisions.
02 / SPECIALIZED BY DESIGN
Different industries. The same depth.Industry fluency.
Engineering depth.
We work where domain knowledge matters. Explore our areas of expertise, selected references, and the workflows AI can help move forward.
01
Real estate & investment
Turn complex property and investment information into structured, actionable intelligence.
WORKFLOW OPPORTUNITIES
Document analysis / Opportunity qualification / Portfolio workflows
Selected referencesBlackstone · Home Partners of America
SquareTallyVisit website
Professional tools for architects and flooring installers.
02
Enterprise & professional services
Connect knowledge, people, and systems to take operational workflows from request to resolution.
WORKFLOW OPPORTUNITIES
Knowledge agents / Service operations / Process automation
Selected referenceSopra Steria
03
Entertainment & live experiences
Give creative teams more room to create, with agents that support research, discovery, and coordination.
WORKFLOW OPPORTUNITIES
Talent discovery / Event planning / Production coordination
Selected reference
CrowdMateVisit website
CrowdMateVisit website 04
Legal tech
Make dense legal information easier to navigate, with traceable outputs and professional review built in.
WORKFLOW OPPORTUNITIES
Contract review / Legal knowledge / Matter intake
Domain expertisePurpose-built for legal workflows
05
Maritime tech
Agents for maritime operations, built around the documents, decisions, and coordination your teams handle every day.
WORKFLOW OPPORTUNITIES
Document analysis / Maritime workflows / Operational coordination
Maritime agentic toolDemurrage
06
Insurtech
Bring documents, data, and teams together to streamline insurance workflows, with traceable outputs and human review.
WORKFLOW OPPORTUNITIES
Document intake / Policy information / Case coordination
Selected referenceSpace NestorVisit website
03 / OUR METHODOLOGY
Product judgment. Engineering ownership.We shape the build.
And own the outcome.
We help define the problem, make product decisions, and build alongside your team. Our methodology draws on Andrew Ng’s “Shaping the Build” principles for AI engineering.
01
Drive the build loop
Work in short agile iterations, demo working software, and use real user feedback to decide what comes next. We choose the right next step — a technical experiment, a focused prototype, or a production release — for your risks and budget.
02
Make product decisions
Turn user needs into a clear product direction and a prioritized backlog, even when the brief is incomplete. We bring user empathy, design judgment, and business sense to decisions about scope, usability, cost, and value.
03
Communicate & lead
Keep domain experts, business teams, and technical stakeholders aligned. We explain what AI can do, make tradeoffs visible, and help your team make informed decisions as the project evolves.
04
Take high-agency ownership
Spot opportunities, propose solutions, and take responsibility from idea to operation. We work through ambiguity and setbacks, respect your constraints, and measure progress by the value created.
A CONTINUOUS BUILD LOOP
- Understand
- Build
- Learn
- Refine
Agile in practice: short iterations, a prioritized backlog, regular demos, and retrospectives. Each cycle combines user feedback and technical evals to guide the next release. We keep learning and refine our tools as the technology evolves.
Inspired by Andrew Ng’s “Shaping the Build” framework, shared through DeepLearning.AI.
04 / BUILD YOUR INTERNAL CAPABILITY
The people who know the work can help build the tools.Help your teams
become builders.
As AI expands what operational teams can create, they need the skills and methodology to build well. We combine hands-on training and delivery coaching to help your people turn domain expertise into useful internal tools.
Practical AI engineering training
Learn AI-assisted development through your own workflows. Workshops cover agents, skills, MCP, prototyping, and evals, alongside the fundamentals of data handling, version control, and testing.
Coach teams on real projects
Pair operational experts with engineering guidance. We help teams frame a problem, build a prototype, gather user feedback, and work through short agile iterations with regular product and technical reviews.
Establish a way of working
Create shared playbooks, reusable skills, and a clear delivery process. Define who owns each tool, how releases are reviewed, and when security, data, or integration decisions need specialist engineering support.
LET’S BUILD SOMETHING USEFUL
Complex workflow?
That’s our kind of challenge.
Build an application. Equip your team. Or do both.
Let’s find the right starting point for your organization.
Prepare your project brief
A useful starting point: your industry, the workflow you want to improve, the tools and data you use, and what success would look like.