We build production AI systems. Autonomous agents, voice AI, and tool-using workflows that run inside real products — not demos that live in a notebook.
Start a projectMost AI projects die somewhere between a promising demo and anything a real user would touch. We skip that part. We build the agent, deploy it, wire it into your product, and make sure it actually works when someone who is not an engineer tries to use it.
Agents that call tools and loop until the job is done. Voice AI that handles live calls. Realtime APIs that process video, audio, and screen shares as they happen. Retrieval systems that actually find the right answer. We pick the right model, set up evaluation so you know when it is wrong, and monitoring so you are not surprised by a bill or a hallucination.
Autonomous agents that plan, call tools, verify their own output, and loop until the task is done. Multi-agent systems where specialized agents collaborate via A2A protocol — one researches, another writes, a third reviews. Each agent has a defined task boundary, an error recovery path, and a cost ceiling.
Custom assistants grounded in your data. Support agents that resolve tickets without escalation. Customer-facing chat that knows your product catalog and cites every source. Real-time voice AI for call handling, intake, and coaching — sub-500ms response times on production calls.
Retrieval that goes beyond keyword matching. Hybrid search combining vectors and BM25, with cross-encoder reranking. Agentic RAG that decides when to retrieve, what to retrieve, and whether the answer is good enough — or if it needs to search again. Self-correcting pipelines that improve with every query.
Replace manual classification, routing, triage, and approval workflows. Insurance claims get processed. Support tickets get categorized and routed. Leads get scored. Every decision includes a confidence score and a human escalation path for edge cases.
Extract structured data from contracts, invoices, medical records, and legal documents — any format, any language, handwritten sections included. The system classifies, routes, and flags edge cases for human review. Not OCR. Comprehension of what a document says and what action it requires.
Generate product descriptions, financial summaries, compliance reports, and marketing copy at scale. Summarize transcripts, extract entities, classify at volume. Every pipeline includes quality scoring, brand voice validation, and human review checkpoints.
Map the business outcome. Set the accuracy target, latency budget, and cost ceiling before any code is written. Build a lightweight evaluation set from real examples. If we cannot measure it, we do not build it.
A working version runs in a real environment by end of week one. Deployed, monitored, logging every request. Not a notebook. Your team can call it, see the outputs, and give feedback on real behavior.
Automated evaluation runs on every change. We tune prompts, swap retrieval strategies, test models until accuracy targets are met. Guardrails, input validation, output filtering — added here, not as afterthoughts.
Production deployment with observability, cost dashboards, and alerting. We stay for a support window and run accuracy checks after 30 days of real traffic. The evaluation pipeline keeps running so you always know how well it works.
Claude Opus and Sonnet, GPT-4o, Llama 3, Mistral, and Gemini. We benchmark on your data and select based on accuracy, latency, and cost per task. No vendor lock-in. Swap models without rewriting your application.
LangGraph for stateful production workflows. CrewAI for multi-agent collaboration. OpenAI Agents SDK for lightweight handoff chains. MCP for structured tool integration. A2A protocol for cross-system agent communication.
pgvector, Pinecone, Weaviate, and Qdrant. Hybrid retrieval combining vector and keyword search. Domain-tuned chunking and embedding selection. Cross-encoder reranking with Cohere. Agentic RAG with self-correction.
Vapi for production voice agents. ElevenLabs for voice synthesis across 70+ languages. Whisper and Deepgram for transcription. Streaming responses for sub-500ms end-to-end latency on live conversations.
LangSmith and Braintrust for eval pipelines. Automated accuracy benchmarks and regression testing on every prompt change. A/B testing in production. Every model update validated before it reaches users.
Input validation, output filtering, PII detection, hallucination scoring. Prompt injection detection. Constitutional AI approaches. Safety and compliance are features, not afterthoughts.
Deployed, monitored AI feature with automated test suite running on every change. Accuracy metrics and cost dashboards from day one.
Clean, tested code in your repository with full ownership. Documented endpoints, authentication, and error handling. Any engineer can pick it up.
Versioned prompt templates, system instructions, and model parameters. Every change tracked alongside its evaluation results.
Curated set of real examples with expected outputs. Used to validate the initial build and every subsequent update. Reproducible baseline.
Logging, cost monitoring, latency alerting, and error tracking. Runbook for common failure modes: model changes, retrieval drift, cost spikes.
“The team at appssemble met our expectations and deadlines.”
“They stand out for their response rate, close collaboration, and flexibility.”
“I commend their consistency and the fact that their budget estimations are always accurate.”
“The quality of the work was exactly what I paid for.”
“We're particularly impressed with appssemble's integrity.”
“They work very fast and have many ideas.”
“They can develop what they claim from a technical perspective, and they reply quickly to any concern or request.”
“The team at appssemble met our expectations and deadlines.”
“They stand out for their response rate, close collaboration, and flexibility.”
“I commend their consistency and the fact that their budget estimations are always accurate.”
“The quality of the work was exactly what I paid for.”
“We're particularly impressed with appssemble's integrity.”
“They work very fast and have many ideas.”
“They can develop what they claim from a technical perspective, and they reply quickly to any concern or request.”