EXPERTISES
AI Agents & LLM Solutions

AI Agents, engineered for real-world complexity.

From strategy to execution, we engineer AI systems that work across your workflows, adapt to changing context, and hold up as your business grows.

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Agent hub orchestrating connected tools and data sources
Agentic AI in practice

Agentic workflows, not just chatbots.

Our agents reason across your data, connect to your tools, and carry work through to completion, becoming an active, reliable part of how your operations run.

Talk to Your Data

Ask a question in plain language and get a grounded answer — powered by semantic search across your reports, dashboards, and databases. The prompt becomes the interface.

Orchestrate Multi-Step Work

Agents that plan a sequence of actions, execute them across your systems, and adjust when something changes — without waiting on a person for every step.

Grow Without Growing Headcount

Agents absorb repetitive, high-volume work around the clock, freeing your team's time for judgment calls.

Custom AI & Agent Development

Where agentic AI meets your stack.

From custom LLMs to multi-agent and multimodal systems, we take generative AI from concept to deployment — building solutions your teams can put to work.

AI Agents & Agentic Workflows

Multi-agent systems that reason, plan, and execute tasks across complex, multi-step processes — coordinated through orchestration, with guardrails and structured outputs to keep them safe and predictable.

Retrieval & Knowledge Grounding

We connect your models to the data that actually matters — internal docs, product catalogs, support history — through retrieval-augmented generation (RAG) and vector search, so answers stay accurate and specific to your business.

Model Tuning & Selection

Not every task needs a frontier model. Through fine-tuning, prompt engineering, and model selection, we pick the right combination for the job — balancing accuracy, latency, and cost for your domain.

Conversational AI & Copilots

AI assistants and chatbots built for natural, fluid conversation, with streaming responses — grounded in your data, business logic, and tool calling.

Featured Case Study

Educational Platform

We built a multi-agent conversational engine that guides high school students through adaptive, role-based career simulations — orchestrated with LangGraph and Claude on AWS Bedrock, traced and evaluated with LangSmith.

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300+ student conversations across pilot and production
100% of conversations passed safety evaluation, zero incidents
75% completion rate on the chatbot experience
Technology & Partners

The stack behind every agent we ship.

We combine leading models, orchestration frameworks, vector databases, and cloud infrastructure to build agents tailored to your data, workflows, and business needs.

OpenAI OpenAI Select Partner
Building With
Anthropic Claude
LangGraph
LangChain
AWS Bedrock
Google Gemini
LangSmith
LLMOps

From prototype to production.

Most AI pilots never leave the sandbox. We close that gap hardening prompts into systems, adding monitoring and evaluation, and standing up infrastructure that scales with your business.

Workflow Automation

Automation with judgment built in.

Cuts down on repetitive, manual work, speeds up processes, and keeps quality consistent, even as conditions change

Document Understanding

Extracts and validates data from contracts, forms, and reports — any format. From messy documents to usable data.

System Integration

Connects legacy systems and modern tools without ripping anything out.

Adaptive Processes

Runs multi-step processes end to end, adjusting on the fly when exceptions or changes come up.

In production today

AI in action, measured by its impact.

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Education · Multi-Agent Systems

Educational Platform

What it does

A multi-agent system that guides high school students through adaptive, role-based career simulations.

How we built it

Orchestrated with LangGraph and Claude (AWS Bedrock), traced and evaluated with LangSmith.

Impact

Live in production, guiding students through personalized simulations with three coordinated agents across seven conversation configurations and fifteen structured objectives.

287 student conversations across pilot and production
100% of conversations passed safety evaluation, zero incidents
75% completion rate on the chatbot experience
EdTech / HR Tech · Structured LLM Pipelines

JobSpeaker

What it does

A structured pipeline that turns curricula, CVs, and job postings into consistent, usable skill data.

How we built it

Gemini-based extraction aligned to a ~40K-skill taxonomy using embedding-based vector search, with parallel batch processing.

Impact

One taxonomy now powers every source, with faster, more consistent extraction.

100K+ job postings processed per day, extracting skills at scale
40K+ skills in the taxonomy, a consistent reference that didn't exist before
Market Intelligence · Conversational AI + RAG

Sumara

What it does

A conversational agent that turns scattered consumer feedback into on-demand market insight.

How we built it

Agentic architecture with persistent memory, connected live to Reddit, X, and Walmart.

Impact

Users explore consumer data conversationally — now expanding into simulated focus groups.

3 external platforms connected live — Reddit, X, and Walmart