Thirteen disciplines. One team that ships across all of them.
We don't hand you off between specialists. The same team that scopes the problem builds, evaluates, and deploys the system — across whichever of these areas the problem actually needs.
AI Strategy & Consulting
Before we write a line of code, we answer the question most AI initiatives skip: should this be built at all, and if so, how? We run technical audits, build-vs-buy evaluations, and architecture reviews grounded in your actual data, infrastructure, and team — not a generic maturity model.
AI Readiness & Opportunity Audits
Assess your data, infrastructure, and team against the problems worth automating first.
Build-vs-Buy & Vendor Evaluation
Benchmark models and vendors on cost, latency, and accuracy for your actual workload.
Architecture & Technical Due Diligence
Independent review ahead of a funding round, acquisition, or major platform decision.
Cost & ROI Modeling
Model total cost of ownership across build, inference, and maintenance before you commit.
AI Governance & Risk Frameworks
Policies, review gates, and audit trails for teams deploying AI under compliance pressure.
Data Science & Machine Learning
Most organizations have more data than insight. We build the analytics and modeling layer that closes that gap — from exploratory analysis and feature engineering through to predictive models running in production, with the pipelines and monitoring that keep them honest over time.
Predictive Modeling & Forecasting
Demand, churn, risk, and pricing models trained on your historical data.
Feature Engineering & Data Pipelines
Reliable, versioned pipelines that turn raw operational data into model-ready features.
Statistical Analysis & Experimentation
A/B testing, causal inference, and rigorous experiment design for product and growth teams.
MLOps & Model Monitoring
Deployment, versioning, and drift monitoring so model performance doesn't quietly decay.
Recommendation & Ranking Systems
Personalization and ranking models tuned to the metric that actually matters to the business.
Computer Vision
We build vision systems that run where the problem actually lives — on a factory floor, in a drone, on a mobile device, or in a cloud pipeline processing millions of images a day. That includes model selection and fine-tuning, data pipeline design, and the deployment work that makes a model reliable in production.
Real-Time Object Detection & Tracking
Multi-camera and multi-object tracking pipelines tuned for low-latency inference.
Defect & Anomaly Detection
Vision QA systems that catch what manual inspection misses on a production line.
Geospatial & Aerial Imagery Analysis
Satellite and drone imagery pipelines for land, crop, or infrastructure monitoring at scale.
Edge & On-Device Deployment
Quantized, hardware-accelerated models running on embedded and mobile devices.
Video Analytics at Scale
High-throughput pipelines for surveillance, retail, and operational video streams.
Generative AI
Generative models are easy to demo and hard to productionize at cost and scale. We build the pipeline around the model — queuing, caching, fine-tuning, guardrails, and cost controls — so generation is a reliable product feature, not a fragile demo.
Branded Image & Video Generation
On-brand generation pipelines for marketing, e-commerce, and content platforms.
Fine-Tuning & Style Adaptation
LoRA and custom fine-tuning so output matches a specific brand, product, or domain.
Synthetic Data Generation
Generated training data to bootstrap or augment models where real data is scarce.
Generation Guardrails & Cost Controls
Queuing, caching, and moderation layers that keep generation reliable and affordable at scale.
Creative Tooling & Workflow Integration
Generation embedded directly into the tools your creative and product teams already use.
LLMs & Agentic Systems
We build LLM applications that are grounded, evaluated, and accountable — retrieval systems that cite their sources, agents with clear tool boundaries, and orchestration layers that fail predictably instead of silently. This is the largest share of our work, and the area where the gap between demo and production is widest.
Retrieval-Augmented Generation
Grounded RAG systems that cite sources and minimize hallucination on your own documents.
Multi-Step & Multi-Agent Orchestration
Agent systems that break down complex tasks with clear handoffs and failure boundaries.
Tool-Calling & Function Integration
Agents wired safely into your internal APIs, databases, and third-party services.
Evaluation & Hallucination Guardrails
Automated eval harnesses that catch regressions before they reach a customer.
Human-in-the-Loop Escalation Design
Clear handoff points so agents know when to stop and ask a human instead of guessing.
NLP & Text Analytics
Before an LLM ever gets involved, most text problems come down to solid NLP fundamentals — classification, entity extraction, embeddings, and similarity search. We build these as focused, cheap-to-run systems rather than routing every text task through a large model by default.
Text Classification & Tagging
Category, intent, and sentiment classifiers trained on your own labeled or weakly-labeled data.
Named Entity & Information Extraction
Structured field extraction from free-form text — names, dates, amounts, clauses, references.
Embedding & Similarity Search
Vector representations for search, deduplication, and content-based recommendation.
Topic Modeling & Document Clustering
Surfacing themes and structure in large, unlabeled text archives without manual tagging.
Multilingual Text Processing
Classification and extraction pipelines that hold up across languages, not just English.
Document Intelligence & OCR
Real-world documents are inconsistent, multi-format, and often scanned rather than digital-native. We build extraction pipelines that combine OCR with LLM-based structuring and validation, so output lands as clean JSON or spreadsheets — with reconciliation checks, not just best-effort parsing.
OCR & Layout-Aware Parsing
Text and table extraction from scanned PDFs, forms, and images that preserves document structure.
LLM-Structured Data Extraction
Unstructured notices, contracts, and reports converted into standardized, schema-validated records.
Reconciliation & Validation Workflows
Automated checks that extracted totals and fields match source documents before anything downstream trusts them.
Multi-Format Ingestion Pipelines
A single pipeline handling PDF, DOCX, Excel, and image inputs across dozens of source formats.
Regulatory & Compliance Document Processing
High-volume filing and report processing built for accuracy audits, not just throughput.
Geospatial AI
Geospatial problems need computer vision that speaks the language of GIS — georeferenced outputs, not just bounding boxes. We build pipelines that go from raw satellite or drone imagery to polygons, measurements, and layers ready to drop into the mapping tools your team already uses.
Satellite & Aerial Imagery Analysis
Detection and segmentation models tuned for high-resolution overhead imagery, not ground-level photos.
Infrastructure Mapping & Digitization
Roads, lanes, and structures converted from imagery into georeferenced vector layers automatically.
Geospatial Data Engineering
Shapefile, GeoJSON, and raster pipelines built on GDAL and PostGIS for downstream planning tools.
Land & Environmental Monitoring
Change-detection pipelines for tracking land use, crop health, or infrastructure condition over time.
GIS Visualization & Reporting
Interactive maps and statistical reporting layered on top of the extracted geospatial data.
Voice & Conversational AI
Text chat is one interface — a lot of real workflows still happen on the phone. We build voice agents that place and handle calls at volume, alongside the chat and document interfaces they're often paired with, with the identity verification layer that some workflows require.
AI Voice Agents & Outbound Calling
Agents that place and handle calls at volume, in multiple languages, on a real phone line.
Speech-to-Text & Text-to-Speech Pipelines
Low-latency transcription and natural-sounding synthesis wired into a live conversation loop.
Conversational Flow & Session Design
Multi-turn dialogue with memory and context tracking, not a scripted decision tree.
Biometric & Identity Verification
Voice or face-based verification layered into onboarding and recruitment flows that need it.
Chat + Voice Hybrid Interfaces
Consistent conversational logic shared across a chat widget and a voice line.
MCP Servers & Agent Tooling
As agentic AI moves from chat windows into real workflows, the tooling layer matters as much as the model. We design and build custom MCP servers and tool integrations that expose your internal systems to AI agents safely — with proper auth, scoping, and observability.
Custom MCP Server Development
Purpose-built MCP servers exposing internal APIs to Claude, GPT, and other agent clients.
Tool Schema & Permission Design
Well-scoped tool definitions that give agents just enough access to do the job safely.
Cross-System Agent Orchestration
Coordinated tool access across CRM, docs, ticketing, and internal data systems.
Auth, Scoping & Observability
Authentication, rate limiting, and logging so agent tool use stays auditable.
Low-Code & Workflow Automation
Not every problem needs a model. A lot of operational pain gets solved with well-designed automation connecting the tools you already use. We build these workflows to be maintainable and observable, not brittle chains that break the moment an API changes.
Cross-Tool Workflow Automation
Automating handoffs between CRM, support, billing, and internal tools.
Legacy & API Integration
Connecting older systems to modern APIs without a disruptive rebuild.
Event-Driven Pipelines
Webhook and queue-driven automation that reacts to events instead of polling.
Internal Ops Tooling
Replacing manual spreadsheet processes with maintainable, observable automation.
Systems & Infrastructure Engineering
Some problems aren't AI problems at all — they're systems problems. When the requirement is sub-millisecond latency, kernel-bypass networking, or a data relay that has to hold up at real production throughput, we build it in Rust with the same production-first discipline we bring to everything else.
High-Throughput Data Relays
Lock-free, low-latency fanout systems serving thousands of concurrent subscribers over gRPC, WebSocket, and QUIC.
Kernel-Bypass & Low-Latency Networking
eBPF/XDP packet processing and zero-copy I/O for workloads where microseconds matter.
Protocol & Gateway Engineering
Production gRPC routers, circuit breakers, and load balancers built for real failure modes.
Bare-Metal & Distributed Infrastructure
Provisioning and running distributed services on bare metal, not just autoscaled containers.
Systems Programming in Rust
Memory-safe, high-performance backend systems where a GC pause or a runtime crash isn't an option.
Blockchain & Web3
For clients operating on-chain, we build and audit smart contracts and the surrounding infrastructure — tokenization, on-chain data, and wallet integrations — plus the harder-to-find work of bridging that infrastructure to AI systems that need to read from or write to a chain.
Smart Contract Development & Audits
Solidity contracts built and reviewed for correctness and security before launch.
Tokenization & Digital Asset Infrastructure
Token standards and issuance infrastructure for assets, loyalty, or access rights.
On-Chain Data, Oracles & Indexing
Reliable data feeds and indexed on-chain data for applications that need to query chain state fast.
Wallet & DeFi Integrations
Wallet-connected flows and DeFi protocol integrations for on-chain products.
AI-to-Chain Bridges & Provenance
Provenance verification and wallet-driven automation for AI systems that touch a chain.
Not sure which of these fits your problem?
That's normal — most real problems span two or three of these at once. Tell us what you're working on and we'll help you figure out the shape of it.