The last mile of AI, already built.

Don't rebuild what every deployment taught us to pre-build.
Every AI deployment repeats the same 70%: document ingestion, data connectors, guardrails, human-review queues, audit logging. Building that from scratch is why pilots take nine months and budgets die. We productized it.
Our accelerators carry that common core, hardened across client deployments in fintech, construction and appraisal operations. Your engagement spends its time on the 30% that's actually yours your data, your rules, your edge cases which is how "live in under 30 days" stays true.
Every accelerator ships with
Human review queues give automation a clear approval path
Audit logging makes every decision traceable and compliance-ready
Deploy in your cloud or ours while keeping your data under your control
A managed-service option we run what we deploy, under SLA
We adopted smaller, task-specific AI models early.
3x
more use of small task-specific models than general-purpose LLMs by 2027 Gartner's forecast for the enterprise
~1/10
the running cost of large models, at 70-95% of the performance on the task they're tuned for
40%
of enterprise applications will carry task-specific AI agents by end of 2026 up from under 5% in 2025
91%
of companies see local, private processing of their data as a competitive advantage the case for private SLMs
The failed-pilot era taught one lesson: generic AI bolted onto a specific workflow doesn't stick MIT found 95% of those pilots return nothing. What works is task-specific AI, embedded in one process, with guardrails and a human path. That's the only kind we build and the accelerators are how it ships in 30 days.

THE CHALLENGE
Why rebuild what already works?
Teams repeatedly rebuild connectors, review queues, dashboards and controls. Yet forcing a generic product into a unique workflow can create just as much rework. The right answer is tested reuse with room for fit.

Projects spend too long on common plumbing
Generic tools miss the business workflow
Demos hide integration & ownership questions

Match reusable assets, then engineer the fit.
Persivate can deploy a product, apply reusable IP inside a larger engagement, or extend a solution around your data and systems. We test the fit, make the custom work explicit and plan for adoption and support.
Tangible starting point to evaluate
Clear line between reuse and custom work
Integration and operating needs considered early
The product line
Finance & Ops Agent Suite
Back-office AI agents for invoicing, reconciliation, month-end tasks & approvals.
Private SLM Stack
Task-specific language models at ~1/10 the cost, with privacy built in.
Document Intelligence
AI-powered document processing for appraisal, construction & lending workflows.
Integration Accelerators
Pre-built integrations that connect core platforms in days, not weeks.
Agent Operations Toolkit
Production-ready AI with monitoring, drift alerts, guardrails & audit trails.
Data Annotation Services
High-quality labeled data with managed teams, QA & your taxonomy.
Live in under 30 days here's the math
The accelerator carries the common 70%. The month is spent on your 30%.
WHERE WE HELP
Solutions shaped around the work.
Start with the need that matters most. We bring the right combination of expertise, engineering and operating support to move it forward.

Digital experience & platform intelligence
Assets such as SiteLyns can support clearer visibility into digital systems and experiences

Architecture & process visualization
Diagramics can help teams make complex structures and workflows easier to understand

Program & impact management
ImpactOS supports a more connected view of initiatives and
outcomes

Data & automation
Persivate's broader portfolio includes data quality, accounts receivable and workflow automation concepts

Talent & assessment workflows
Reusable assets can support matching, evaluation and related
people processes

AI delivery foundations
Common patterns for data connection, human review, monitoring and governance can support practical AI use cases

Reuse should save time without hiding the important decisions.
We show what the product already does, what needs configuration and where engineering is still required. That lets you invest in the part of the solution that creates distinct value.
Clear steps. Shared decisions. Visible progress.
We begin with your problem and keep business outcomes, engineering quality and adoption connected as the engagement develops.
01
Define the use case
Understand the workflow, users, friction and measure of success
02
Demonstrate fit
Evaluate the product against your data, integrations & controls
03
Adapt & integrate
Configure the solution, customize & validate with users
04
Deploy & improve
Deploy, establish support & improve through feedback

You Bring
The workflow, data, controls and success criteria

Persivate Brings
Relevant reusable IP plus the engineering to make it fit

Together We Create
An adopted solution built from a stronger starting point
VALUE WE CREATE
What changes because we worked together.
Progress is measured by what becomes possible for your people, systems and business not by the volume of activity delivered.

Earlier feedback
Evaluate something tangible sooner
Focused investment
Spend effort on your unique workflow


Clearer fit
Choose what to reuse, extend or build
Built for your market's rules & your CFO's math
We serve a deliberately small client group across four markets. The accelerators carry each market's requirements as defaults, not customizations.

30 days to measurable ROI
Get a live AI system in one process within 30 days, measured against your baseline proof first, platform later.
Small models, smaller bills, data stays yours
Deploy private SLMs that keep data inside your estate while costing roughly one-tenth of large-model architectures.
AI Act alignment by design
Build with transparency, human oversight, audit logging, and data residency built in ready for evolving EU AI Act requirements.
A product backed by engineering depth
Get product speed plus engineering expertise. When the product doesn't fit, the same team builds the extension you need.
Products & accelerators, by the numbers
< 30 Days
From kickoff to a live, supervised system in one real process
~70%
Pre-built, so your deployment month focuses on the remaining 30%
~1/10
The running cost with a private SLM stack
4 Markets
United States, Canada, United Kingdom & Europe
See it run on your documents, this week.
Send us a sample of the workflow you want automated. Within days you'll see an accelerator working on your real data then decide.
Other ways we can help
Access Expertise
Technology
Talent
Operate & Scale
Managed
Services
Build & Transform
Advisory & Transformation
Talk to an Engineer, Not
a Salesperson
Tell us what you're trying to build, migrate, automate, or keep running. You'll get a 30-minute call with someone who has shipped systems like yours, and an honest answer about fit.
Our work has thrived across borders.
Chat with Our Team
22 A, Takli Seem, Nagpur 440036
8 The Green STE A, Dover, Delaware, USA 19901
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