AI PRODUCT DEVELOPMENT & INTEGRATION

Build AI Products That Solve Real Problems.

We design and engineer practical AI products and integrations that improve customer experiences, automate workflows, and create measurable business value.

Build an AI Product arrow_forward account_tree See Architecture & Process
99.4%
Eval Pass Rate
<350ms
Streaming Latency
Zero
Data Lock-in
PIPELINE.ORCHESTRATOR.RUNTIME
ACTIVE LIVE REPLAY
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Client & User Layer
Web, Mobile, Real-time WebSockets
REQ IN: 2.4k rps (Illustrative Benchmark)
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Application Runtime
Zod Guardrails • Session Context • Auth Gate
Schema Validated
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Cognitive AI Layer (Hybrid Router)
Fine-Tuned LLMs + Speculative Decoding
Sub-350ms
verified Eval Score: 99.4% pass
data_object Deterministic JSON strict
database
Data & Retrieval Layer
Hybrid Vector Index (pgvector + BM25)
Cosine: 0.942
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Enterprise Systems & Actions
Salesforce, SAP, Stripe, PostgreSQL
2-Way Sync
Enterprise Production Standard

Beyond the AI Demo: Engineering the Production Reality

Impressive AI demos are not enough. Production AI requires hardened workflows, deterministic data grounding, enterprise security, end-to-end monitoring, and graceful failure isolation.

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AI Hallucination Control

Evaluation harnesses, grounding checks, strict confidence thresholds, and deterministic rule-based fallbacks to reduce and contain hallucinations with rigorous evaluations and fallbacks.

Evals in CI/CD Assertion Harness
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Data Integration & Grounding

Vector databases, hybrid dense/sparse semantic search, automated chunking pipelines, and metadata enrichment keeping domain knowledge synchronized in real time.

Hybrid RAG CDC Sync
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Deterministic AI Workflows

Agentic state machines, human-in-the-loop checkpoints, step-function orchestrations, and async retry queues with checkpoint rollbacks.

State Machines HITL Queues
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Enterprise Security & Privacy

Prompt injection firewalls, automated real-time PII anonymization, tenant-isolated vector namespaces, and zero-training vendor agreements.

Built with SOC2-aligned controls PII Redaction
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Real-Time Observability

Distributed token tracing, unit-economics cost attribution per user action, semantic model drift detection, and automated alerting webhooks.

OpenTelemetry Drift Monitors
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Resilient Scalability

Multi-model load balancing, smart prompt caching, fallback cascades to open-weights models, and multi-region routing to eliminate rate-limit downtime.

Active Cascading Redis Semantic Cache
Full-Lifecycle Engineering

What We Build

Specialized AI capabilities engineered for high-stakes enterprise applications, engineered with strict architectural standards.

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Interactive

AI-Powered Applications

Full-stack web & mobile experiences with contextual conversational intelligence and ergonomic generative UI.

React • Next.js • Tailwind • Swift
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Reliable

LLM Applications

Fine-tuned open & closed weights with structured Zod schema output guarantees and prompt regression suites.

Llama-3 • Claude • GPT-4o • LoRA
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Autonomous

AI Agents & Swarms

Autonomous multi-step task runners with tool-calling capabilities, memory persistence, and sandbox execution.

LangGraph • Temporal • Autogen
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Grounding

Production RAG Systems

Hybrid BM25 + dense vector retrieval, cross-encoder re-ranking models, and dynamic context optimization.

Qdrant • Pinecone • Cohere Rerank
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Efficiency

AI Workflow Automation

End-to-end unstructured document processing, intelligent triage pipelines, and back-office task automation.

Kafka • AWS Step Functions • OCR
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Seamless

Deep AI Integrations

Embedding generative intelligence directly into legacy relational stacks and monolithic enterprise software.

gRPC • Webhooks • Event-Driven
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Enterprise

Intelligent Semantic Search

Natural language cross-indexing across millions of enterprise files, PDFs, spreadsheets, and historical tickets.

Elasticsearch • OpenSearch • Embeddings
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Augmentation

AI-Assisted Co-Pilots

Specialized assistive copilots boosting workforce throughput in underwriting, claim auditing, and code review.

Fine-tuned Mistral • Human Validation
Predictable Model Delivery

Our AI Product Engineering Process

A rigorous 7-stage engineering methodology designed to guarantee deterministic, enterprise-grade execution from probabilistic neural models.

01

Discover

Problem framing, feasibility auditing, benchmark criteria, and ROI modeling.

Phase: Assessment
02

Design

UX for generative interfaces, trust cues, latency perception, and prompt schema topology.

Phase: Architecture
03

Prototype

Rapid sandbox validation using production sample data to calibrate token limits.

Phase: Validation
04

Integrate

Vector indexing, hybrid RAG pipelines, ERP/CRM hooks, and legacy bridging.

Phase: Integration
05

Test & Red-Team

Adversarial jailbreak attacks, prompt injection stress-tests, and edge-case evaluations.

Phase: Security
06

Deploy

Zero-downtime blue/green rollouts, rate-limiting layers, and observability telemetry.

Phase: Release
07

Improve

Active dataset curation, fine-tuning distillation, and prompt parameter optimizations.

Phase: Continuous
Ecosystem Compatibility

AI That Fits Your Product

We don't force you into isolated walled gardens or rigid vendor stacks. Our solutions seamlessly hook into your existing operational infrastructure.

CRM SYSTEMS contacts

Salesforce & HubSpot

Automated inbound lead enrichment, conversational summaries, deal velocity scoring, and automated task execution.

Bidirectional REST Sync
ENTERPRISE ERP account_balance

SAP & NetSuite

Automated purchase order parsing, vendor contract extraction, real-time invoice matching, and ledger reconciliation.

Zero-Disruption Bridges
PAYMENTS & BILLING credit_card

Stripe & Adyen

Automated dispute packet synthesis, intelligent fraud pattern identification, and dynamic pricing intelligence.

Sub-second Webhook Processing
MODERN DATA STACK dns

Postgres & Snowflake

Transform raw unstructured relational data into vector embeddings with incremental Change Data Capture (CDC).

pgvector • BigQuery
API PROTOCOLS electrical_services

GraphQL & gRPC

Ultra-fast streaming token interfaces, high-concurrency microservices, and federated schema resolvers.

Event-Driven PubSub
CUSTOMER FACING forum

Portals & Self-Serve

Context-aware help agents capable of querying user order states, initiating returns, and solving complex inquiries.

Authenticated Sandboxes
INTERNAL PRODUCTIVITY terminal

Slack & Custom Ops Dashboards

Directly embed AI assistants inside Slack channels and internal engineering tooling to review pull requests, summarize production incident alerts, and automate compliance audits.

Slack Socket Mode Jira & GitHub Webhooks
Engineering DNA

Why Teams Choose Peractio Labs

We are not an agency that wraps an API call into an iframe. We are systems architects, machine learning engineers, and product builders dedicated to mission-critical software.

Our Operating Guarantee

Every system we deliver includes complete source code ownership, private IP rights, full unit & evaluation coverage, and production monitoring out of the box.

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Product-First AI Strategy

We optimize for user adoption, task completion rates, and business ROI—never vanity technology or novelty demos that add friction.

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Uncompromising Engineering Discipline

TypeScript strict mode, automated CI assertion test suites, infrastructure-as-code, and deterministic schemas that eliminate runtime regressions.

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Production Readiness & Hardening

Built to withstand model provider outages, silent semantic drift, latency spikes, rate limit exhaustion, and adversarial prompts.

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Quantifiable Business Outcomes

Clear attribution of business value: hours automated, error rates significantly minimized with structured validation, and new recurring revenue unlocked.

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Vendor-Agnostic & Total IP Ownership

All models, vector schemas, prompt libraries, and source code belong to you. Seamlessly migrate between OpenAI, Anthropic, or self-hosted open weights anytime.

Frequently Asked Questions

Everything You Need to Know

Answers to key technical, architectural, and operational questions about partnering with Peractio Labs.

AI product development is the end-to-end discipline of designing, prototyping, fine-tuning, and deploying software where machine learning and generative models form a core engine of the application's value proposition. Unlike simple demo scripting, it encompasses rigorous data grounding, guardrails, fallback architectures, low-latency streaming UX, and continuous evaluation pipelines.
AI integration is the process of safely connecting foundation models or domain-specific neural models into your existing databases, microservices, CRMs (like Salesforce), and operational workflows. We construct middleware layers that handle data serialization, vector retrieval, rate limiting, and structured validation so your legacy software benefits from intelligence without disruption.
Yes. A significant portion of our engagements involve embedding AI capabilities into established SaaS products, enterprise ERPs, and internal operations tools. We ensure zero downtime through non-blocking asynchronous event architectures, strict schema validations, and progressive feature flags.
Yes. We engineer multi-agent systems and task runners with deterministic state machines (e.g., LangGraph, Temporal). These agents feature human-in-the-loop validation checkpoints for high-risk actions, transactional rollbacks, strict token budgets, and granular auditing logs to prevent runaway loops.
We implement automated evaluation test suites that run on every commit, test against hundreds of adversarial jailbreaks, enforce JSON schema conformance via Zod, apply semantic caching to control compute costs, and route requests across multi-model failover cascades with sub-350ms streaming latency.
Our stack is modern, vendor-agnostic, and enterprise-grade: TypeScript, Python, Next.js, FastAPI, pgvector, Qdrant, Pinecone, LangGraph, OpenTelemetry, Redis, Docker, and Kubernetes. We orchestrate both proprietary models (Claude 3.5 Sonnet, GPT-4o) and fine-tuned open-weights models (Llama 3, Mistral, DeepSeek) hosted within your own secure VPC.
PRODUCTION ACCELERATION SPRINT

Have an AI Idea? Let's Build It Properly.

Skip the brittle prototypes and endless proof-of-concept limbo. Talk to a principal AI architect today to blueprint your production roadmap and deployment topology.

calendar_today Build an AI Product Contact Engineering Team
verified 15-Min Technical Consultation
lock No Vendor Lock-in
code Full Code & IP Ownership
Choose Your Path

Two Paths. One Standard of Engineering.

Whether you need to architect a production product from day one or salvage and harden a fragile prototype, we provide dedicated engineering leadership.

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Path 1

Build From The Start

Validate, engineer, and launch a production-ready MVP or full digital platform with scalable architecture, test coverage, and clean IP transfer.

  • check_circle Concept to MVP in 4–6 weeks
  • check_circle Full product launch in 45–90 days
  • check_circle Principal engineers, zero throwaway code
Explore Build Path →
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Path 2

Rescue What's Broken

Stuck with a fragile prototype from Cursor, Bolt, Lovable, or an agency? We audit, refactor, and harden it for enterprise traffic and real users.

  • check_circle Rapid Code Audit in 24–48 hours
  • check_circle Refactoring & rescue in 2–8 weeks
  • check_circle Security, reliability & load hardening
Explore Rescue Path →