Our capabilities
Systems we design, ship, and run.
Eight practice areas — AI, automation, data, digital and product engineering, cloud, quality, and managed services — each with focused sub-services. Every page describes the problem, approach, and what we actually deliver.
AI
Production AI systems — RAG, voice agents, copilots, document intelligence, and LLM apps that ship into real workflows.
- RAG & Knowledge Systems Grounded retrieval over docs, tickets, wikis, and product data — with citations, ACL awareness, and eval loops.
- Voice Agents & Conversational AI Telephony and in-app voice agents that book, qualify, resolve, and hand off — with latency and escalation designed in.
- LLM Apps & Copilots Embedded copilots inside dashboards, CRMs, and operator tools — draft, suggest, and act with guardrails.
- Document AI & Intelligent Extraction Parse invoices, contracts, forms, and packs into structured records with human review loops.
- Model Fine-tuning & Evaluation Dataset curation, fine-tuning, and evaluation frameworks so model quality is engineered — not hoped for.
- Multimodal AI Vision, audio, and text together — understand screenshots, product images, diagrams, and meeting media.
Automation
Workflow automation, RPA-style ops, integrations, and agents that remove manual glue work across systems.
- Workflow Automation Durable multi-step workflows for approvals, onboarding, fulfillment, and internal ops.
- RPA & Operations Automation UI and back-office automation for legacy screens where APIs are thin or missing.
- System Integrations & iPaaS Reliable syncs between CRM, ERP, payments, support, and custom apps — with mapping and retries.
- Agentic Process Automation Agents that plan multi-step work across tools — with policies, budgets, and human gates.
- Business Process Orchestration Cross-team orchestration — orders, claims, onboarding — coordinated across people and systems.
Data Platform
Pipelines, warehouses/lakes, analytics, and GenAI-ready data foundations that keep AI honest.
- Data Pipelines & ETL/ELT Reliable ingestion and transforms from SaaS, databases, files, and events into governed stores.
- Warehouses & Lakehouses Modern warehouse/lakehouse architectures for analytics, ML features, and AI corpora.
- Analytics & BI Metrics layers, dashboards, and decision-ready analytics for operators and executives.
- GenAI-Ready Data Foundations Corpus prep, feature stores, embeddings pipelines, and eval datasets for production AI.
- Real-time Streaming & Serving Event streams and low-latency serving for product features, alerts, and AI context.
Digital Engineering
Web and mobile product builds — APIs, UX, and full-stack delivery for customer-facing and operator products.
- Web Product Engineering Modern web apps and platforms — from marketing systems of engagement to complex operator consoles.
- Mobile Apps (iOS & Android) Native and cross-platform mobile products with offline-aware UX and AI assist where it helps.
- API & Backend Platforms APIs, services, and domain backends that power products, partners, and AI tools.
- UX/UI Product Design Research-led product design for complex workflows — clarity over decoration.
Cloud Engineering
Cloud architecture, DevOps, containers, and security hardening for AI and product workloads.
- Cloud Architecture & Migration Target architectures and migrations to AWS, GCP, or Azure for product and AI stacks.
- DevOps & Platform Engineering CI/CD, environments, and internal platforms so teams ship safely every day.
- Kubernetes & Containers Container platforms for scalable APIs, workers, and inference sidecars.
- Security & Compliance Hardening Identity, secrets, logging, and baseline controls for product and AI systems.
Product Engineering
Discovery-to-scale product delivery — MVPs, platforms, and growth engineering with an AI-native mindset.
- Product Discovery & Strategy Problem framing, opportunity sizing, and AI-feasibility before you burn a quarter of engineering.
- MVP to Scale Delivery Ship a credible MVP, then harden performance, tenancy, and ops as usage grows.
- Platform & Modular Architecture Modular platforms so new products and AI capabilities plug in without rewrites.
- Growth Engineering Experimentation, funnels, and activation engineering that compounds product value.
Quality Engineering
Test automation, AI-assisted QA, performance, and security testing baked into delivery.
- Test Automation Unit, API, and E2E automation that protects critical journeys.
- AI-Assisted QA LLM-assisted test generation, exploratory aids, and model evaluation for AI features.
- Performance & Reliability Load, soak, and resilience testing for APIs, apps, and AI inference paths.
- Security Testing Application security testing plus AI-specific abuse cases like prompt injection.
Managed Services
AI Ops, application support, continuous enhancement, and SLA-backed run operations.
- AI Ops & Model Monitoring Monitor latency, cost, quality drift, and safety signals for production AI.
- Application Support & SRE Tiered support, on-call, and reliability engineering for your production apps.
- Continuous Enhancement A retained engineering capacity for prioritized improvements after go-live.
- SLA-backed Run Operations Contracted uptime, response, and resolution SLAs for mission-critical systems.
Not sure where to start?
Tell us the workflow, data, or product surface — we’ll map it to the right capability mix.