AI Systems Division

AI that movesthrough your business.

We build AI systems that retrieve, reason, act, verify, and report. Agents, local RAG, document intelligence, voice control, model routing, evaluations, and workflow automation designed as infrastructure, not a toy demo.

Start an AI buildINIT.BUILD NeuroForge AI appAPP.LIVE

context

Private knowledge loadedDocuments, databases, user state, permissions, and business rules enter the system.

reason

Model route selectedFast model, frontier model, vision model, or local model based on the job.

tool

Action preparedAPI call, report, dashboard update, workflow trigger, or draft for human approval.

system.status: grounded // tool_access: bounded // audit_log: active // hallucination_budget: zero

Cognitive architecture

The system thinks in stages.

Input is interpreted, context is retrieved, the right model is chosen, tools are called, and output is validated before it reaches a user or changes a system. The intelligence is in the whole loop, not just the model name.

intent parse

context bind

tool decision

verified output

Agents

Autonomy with control points.

We design agents that can observe, plan, use tools, verify results, and stop for approval when the stakes require it. Useful agents are not chaotic. They are bounded systems with memory, tools, and logs.

01ObserveRead the situation.

02PlanChoose the next move.

03ActUse approved tools.

04VerifyCheck the result.

RAG and document intelligence

Answers should carry evidence.

We build private knowledge systems for PDFs, scans, SOPs, contracts, tickets, research, compliance archives, and operational data. The AI can answer questions, compare sources, summarize findings, and show where the answer came from.

ingest: document batches, scans, tables, metadata, permission boundaries

index: embeddings, entities, rejection codes, dates, semantic chunks

retrieve: filtered source passages, citations, confidence, audit trace

answer: grounded response, summary, comparison, export-ready report

Model routing

One provider is not a strategy.

Some work needs frontier reasoning. Some needs speed. Some needs vision. Some needs local deployment. We route by quality, latency, privacy, cost, and task type so the system spends intelligence where it matters.

classify

fast

reason

frontier

vision

multi

private

local

batch

cheap

review

safe

Evaluation and governance

Trust is measured while the system runs.

We add prompt tests, structured output validation, source checks, moderation, usage tracking, cost visibility, fallback behavior, and human review. AI becomes inspectable instead of mysterious.

Control ledgerruntime checks

source

GroundingAnswers must connect to approved context and citations.

active

shape

Schema validationStructured outputs are checked before workflows consume them.

enforced

tools

Action boundaryHigh-impact operations require permission or human review.

bounded

cost

Usage traceLatency, tokens, provider spend, failures, and fallbacks are visible.

logged

release.condition: prompt_tests_pass && citations_present && tool_scope_valid && review_gate_clear

Final prompt

Bring the AI idea. We will turn it into a system.

Agents, local RAG, document intelligence, AI dashboards, workflow automation, model routing, voice control, evaluations, and tool-using systems built with real engineering discipline.

Start the AI briefingINIT.BRIEF Back to ServicesALL.DIVISIONS